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AI Tutor - Lithuanian
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Lithuanian, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Lithuanian with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Lithuanian, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Kyrgyz
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Kyrgyz, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Kyrgyz with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Kyrgyz, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Korean
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Korean with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Khmer
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Khmer, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Khmer with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Khmer, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Kazakh
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Kazakh, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Kazakh with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Kazakh, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Kannada
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Kannada, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Kannada with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Kannada, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Indonesian
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Indonesian with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Igbo
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Igbo, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Igbo with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Igbo, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Hebrew
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Hebrew with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Hausa
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Hausa, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Hausa with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Hausa, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - French
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in French with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Finnish
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Finnish with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Farsi
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Farsi, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Farsi with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Farsi, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Dutch
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Dutch with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Danish
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Danish with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Czech
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Czech, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Czech with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Czech, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Croatian
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Croatian, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Croatian with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Croatian, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Chinese
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Chinese with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Catalan
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Catalan, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Catalan with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Catalan, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Bulgarian
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Bulgarian, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Bulgarian with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Bulgarian, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Azerbaijani
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Translate and localize text strings (UI copy, prompts, responses, and other written content) from English into Azerbaijani, ensuring linguistic accuracy, natural phrasing, and cultural appropriateness. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Azerbaijani with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Demonstrated ability to translate and localize text accurately between English and Azerbaijani, preserving meaning, tone, and cultural nuance. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Experience with translation or localization workflows, particularly for software UI, product copy, or conversational AI text. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Audio Editing
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in audio editing, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, sound processing, and auditory experiences. Key to this role is possessing an exceptional vocal quality (a great voice), exceptional audio perception (a great ear), hands-on background in sound manipulation through editing software, hosting shows, or composing tracks, and demonstrating advanced proficiency in audio principles, techniques, and quality standards. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, and inputs on projects involving sound clips, voice recordings, and auditory elements. - Support the delivery of high-quality curated data that ensures clear, professional audio output and accurate representation of sonic details. - Collaborate with technical staff to develop tasks that improve AI's ability to handle voice modulation, noise reduction, and immersive sound design. - Work with technical staff to improve annotation tools for efficient workflows. BASIC QUALIFICATIONS: - Demonstrated high proficiency in Audio Engineering, Music Production, Communications, or a related field. - Outstanding vocal presence suitable for recording and demonstration purposes. - Proven skills in audio post-production, episode creation, or musical arrangement, with a deep grasp of acoustics, mixing, and signal processing. - Proficiency in evaluating and enhancing sound quality, with strong expertise in waveform analysis, equalization, and audio format compatibility. - Candidates must be highly proficient in at least one of the following software tools: - Pro Tools - Ableton - Logic - Audacity - Studio One - FL Studio - Reaper - Strong ability to reference professional standards, equipment, and best practices for annotating and refining auditory content. - Strong communication, interpersonal, technical, and detail-oriented skills. - Commitment to developing AI that masters sophisticated audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Portfolio of audio work, such as edited tracks, hosted episodes, or produced compositions, shared on platforms or professionally. - Experience in sound design, broadcasting, studio recording, or roles involving auditory critique and optimization. - Knowledge and mastery of AI-based audio restoration plugins, including Adobe Podcast Enhance, Izotope RX Series, and DX Revive Pro. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $30/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Arabic
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to SpaceXAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. - Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. - Work with technical staff to improve annotation tools for efficient audio workflows. BASIC QUALIFICATIONS: - Native proficiency in Arabic with exposure to diverse accents, dialects, or regional variations. - Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes. - Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages. - Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form. - Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality. - Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages. - Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech. - Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively. - Commitment to developing AI that masters sophisticated multilingual audio capabilities. PREFERRED SKILLS AND EXPERIENCE: - Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work. - Deep understanding and taste of what good/useful Audio data is. - Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy. - Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns. - Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance. - Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality. - Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions. - Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail. - Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs. - For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
Workday Business Systems Analyst, People Systems
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a talented and driven Workday Business Systems Analyst to join our People Systems team. You'll own the technical configuration, testing, and operational excellence of our Workday HRIS across two domains: PATT and HCM. Your deepest work will be on the PATT side, where you'll refine our existing payroll, absence, and time tracking configuration and shape PATT design decisions as they're made. On the HCM side, you'll own core HCM data structures, business process frameworks, and the security model that underpins everything we do in Workday. You'll be relied on as a system expert for both strategic guidance and hands-on delivery. This role is about moving the team forward, not just keeping the system running. The right candidate is passionate about where AI and internal tooling can make People Systems more effective, and treats "the way it's always been done" as a starting point to question rather than a constraint. We're looking for someone who is naturally curious and an exceptional problem solver — the kind of person who looks beyond the obvious or "standard" Workday answer and asks why before how. You'll find success in this role if you thrive in a fast-paced, high-growth environment and know how to reprioritize without losing rigor. You'll partner across many parts of the business, from the broader People team to Finance, IT, and beyond, to make sure our HRIS is secure, scalable, and a true business enabler. Responsibilities PATT and HCM - Configure and maintain Payroll: pay components, earnings and deductions, pay groups, period schedules, and payroll-related business processes - Configure and maintain Absence: time-off plans, accrual rules, eligibility criteria, and leave types - Configure and maintain Time Tracking: time entry templates, validations, work schedules and calendars, and overtime calculations - Configure and maintain Core HCM foundations: supervisory organizations, staffing models, job profiles and job/compensation structures, custom organizations, and worker data integrity - Support annual and recurring People cycles in Workday, including compensation review setup, open enrollment configuration, and org restructures (mass supervisory org changes and job catalog updates) - Design, build, and maintain business process definitions in both domains, including condition rules, calculated fields, custom validations, routing and approval logic, and notifications - Partner with the Payroll team to troubleshoot configuration-driven payroll issues, including gross-to-net discrepancies, retro calculations, and off-cycle errors — the Payroll team owns processing; you own the configuration behind it - Bring a strong command of the Workday security model: role-based, user-based, and intersection security groups, domain security policies, business process security policies, and integration system users (ISUs), with sound judgment about when to leverage each as you configure and troubleshoot across domains - Support security and data audits in partnership with the broader team, using Workday delivered and custom audit reports to analyze access patterns, remediate exceptions, and uphold segregation of duties - Perform impact analysis before changes ship, including how HCM and security changes ripple into payroll, absence, and time data - Lead testing and adoption for Workday's twice-yearly releases across both domains: assess new features, run regression testing on critical business processes and security, and drive rollout of features we opt into Across the platform - Translate business requirements from our internal partners into scalable system design, and document configuration decisions as you go - Build trusted relationships with partner teams, acting as a translator between technical configuration and business needs - Support change management for system updates and new functionality: communicate what's changing and why, prepare documentation and enablement materials, and make sure changes land well with the people who use them - Build and maintain advanced, matrix, and composite reports and dashboards; support mass data changes via EIB - Configure alerts, scheduled reports, and report security so the right data reaches the right people automatically - Triage and resolve day-to-day system issues, getting to root cause rather than patching symptoms - Actively look for where AI and automation can strengthen how People Systems works, from testing, documentation, and requirements drafting to ticket triage and report generation, using Anthropic's own tools as part of your daily workflow - Drive process automation and optimization opportunities with the broader People team and partner functions Minimum Qualifications - Have deep hands-on working knowledge of Workday Payroll, Absence, and Time Tracking (PATT) configuration and design, business process configuration, and Security - Have hands-on working knowledge of Workday Core HCM - Have worked in a fast-paced, high-growth environment and know how to flex between roles - Possess strong technical skills including understanding of Workday architecture, security models, and integration methodologies - Have experience with full lifecycle Workday implementations and/or significant module expansions - Are intellectually curious, you ask "why" before "how," explore root causes rather than symptoms, and stay current on Workday and adjacent HR tech because you want to, not because you have to - Approach problems with creativity, comfortable looking past the standard or obvious solution to find an answer that actually fits the business - Treat HR data security and privacy as a non-negotiable foundation in everything you build and maintain - Excel at building relationships and communicating effectively with technical and non-technical stakeholders at all levels - Are detail-oriented with strong documentation skills and a commitment to process excellence - Have a track record of managing multiple competing priorities, with a bias toward flexibility and impact - Have a collaborative mindset and willingness to pick up slack even if it goes outside your job description Preferred Qualifications - Have 7+ years of experience as a Workday Business Systems Analyst, with demonstrated expertise in system configuration, testing, and implementation - Workday Pro accreditations or Workday partner certifications in HCM, Payroll, Absence, Time Tracking - Understanding of Workday integrations: familiarity with Workday integration tools (EIB, Core Connectors including PECI/PICOF/DCoD, Workday Studio, SOAP/REST Web Services / RaaS), inbound vs. outbound patterns, authentication (SSO, SFTP, API keys / certs), typical HR integration partners (benefits providers, payroll, ATS, IdP, background check), and disciplined error handling, reconciliation, and monitoring - Exposure to Workday Prism Analytics, Extend, or advanced reporting beyond standard report writer - Experience applying AI tools to HRIS or People operations work, or strong interest in building that muscle - Knowledge of complementary HR/Finance systems and integration patterns - Understanding of data privacy regulations and security best practices The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Web Product Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Web Product Manager to build and lead the strategy and roadmap for claude.com. As the first web product manager, you will develop and execute the vision that turns our websites into our strongest acquisition, conversion, and storytelling channels. You will work in a fast paced environment driving awareness, preference, and adoption for Claude across prosumer and enterprise audiences. We are looking for a strategic builder. As our first web product manager you should be comfortable shaping strategy and roadmap without an existing playbook, making data-informed prioritization calls, and influencing partners across marketing, design, and engineering. Key responsibilities - Own the web experience strategy for claude.com, setting the vision for how our marketing surfaces work together as a portfolio and ensuring each site performs against its audience and goals - Stand up the web experimentation program across claude.com. Raise the team's experimentation velocity and rigor over time by setting up hypotheses, prioritizing landing page creation, analysis, and rollout. - Drive conversion rate optimization across acquisition, signup, and checkout funnels, identifying the highest-leverage opportunities and partnering with Web Design and Growth Product to ship them - Establish our web analytics foundation with Data Science, ensuring we have the instrumentation, dashboards, and funnel reporting needed to make growth decisions quickly - Lead our international and localization strategy for the web, partnering with regional marketing and localization teams to ensure our surfaces perform in every market we serve - Partner with Growth Product, Data, and Enterprise Marketing to build the tooling, instrumentation, and funnel infrastructure that make web experimentation fast and measurable - Collaborate with SEO and paid channel owners on on-page requirements and landing page experiments - Coordinate inbound web requests from Product Marketing, Enterprise Marketing, Sales Ops, and other stakeholders, prioritizing against growth impact rather than request volume - Build a durable measurement story for the web, for example, what we're testing, what we've learned, and what it's worth to the business. Communicate it regularly to marketing and executive leadership. Minimum qualifications - Strong strategic thinking abilities, with the ability to translate Anthropic's business goals into a clear, prioritized web roadmap that aligns with broader marketing and product strategy - Track record of driving measurable business results through the web in competitive, fast-moving markets - A strong point of view on what makes the web a category-defining channel for a technology company - A track record of running experimentation programs that moved meaningful business metrics, with a clear ROI story rather than just a backlog of A/B tests - Setting strategy for localized web experiences and workflows across various regions and languages - Strong quantitative instincts and fluency with analytics tools, funnel modeling, and experimentation design - Experience operating at the seam between Marketing, Design, and Engineering, with the ability to influence without owning and say no to requests that won't move the needle - Excellent prioritization judgment and cross-functional gravity — you can walk into a room of competing stakeholders and leave it aligned on what's shipping and why - A collaborative, low-ego operating style that treats design craft and growth performance as compatible rather than opposing goals - Strong written and verbal communication skills, with comfort presenting strategy and results to executive audiences - Deep interest in AI and its potential to positively impact how people work, learn, and create Preferred qualifications - 10+ years of experience in web product management, web growth, digital strategy, CRO, or web experimentation at consumer or B2B technology companies - In-depth knowledge of technical SEO and site architecture - A background marketing AI, developer, or other technical products to both consumer and enterprise audiences - Fluency shipping and optimizing localized web experiences across international markets - A history of partnering closely with in-house brand and design teams on high-craft marketing sites - Familiarity with developer-focused web surfaces - Led large, cross-functional web initiatives with measurable impact on conversion and brand perception The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Transformative AI Research Economist, Economic Res...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously. You will ground projections in microeconomic signals from the Anthropic Economic Index — usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement — so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system , we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Responsibilities - Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution - Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories - Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation - Analyze questions of income distribution and economic governance under transformative-AI scenarios - Contribute to the development of AI-powered research tools for economics - Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise - Build and maintain relationships with academic institutions, policy think tanks, and other research partners - Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders You May Be a Good Fit If You Have - PhD in Economics, or an exceptional candidate close to completion - Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics - A research record that engages seriously with the possibility of transformative AI — you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against - Relevant experience in some of: - Macroeconomic modeling and structural estimation - Scenario-based and time-series forecasting - Task-based approaches to technological change - Computational methods, agent-based modeling, or large-scale simulation - Income distribution and inequality - Using large language models in the research workflow - Technical skills including: - Proficiency in Python, Julia, or similar for computational economics - Facility with AI coding agents as part of a research workflow - Comfort learning new technical tools and frameworks - Demonstrated ability to: - Lead research projects from conception to publication - Ship on tight timelines and revise in public as new data arrives - Communicate technical findings to diverse audiences - Strong interest in ensuring AI development benefits humanity Some Examples of Our Recent Work - Labor market impacts of AI: A new measure and early evidence - Anthropic Economic Index Report: Economic Primitives - Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption - Estimating AI productivity gains from Claude conversations - The Anthropic Economic Index Additional Information For this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI. Deadline to apply: None. Applications are reviewed on a rolling basis The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
TPU Kernel Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a TPU Kernel Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance. Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. You may be a good fit if you: - Have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Enjoy pair programming (we love to pair!) - Want to learn more about machine learning research - Care about the societal impacts of your work Strong candidates may also have experience with: - High performance, large-scale ML systems - Designing and implementing kernels for TPUs or other ML accelerators - Understanding accelerators at a deep level, e.g. a background in computer architecture - ML framework internals - Language modeling with transformers Representative projects: - Implement low-latency, high-throughput sampling for large language models - Adapt existing models for low-precision inference - Build quantitative models of system performance - Design and implement custom collective communication algorithms - Debug kernel performance at the assembly level The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 - $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Threat Intel Manager, Model Exploitation & Fraud
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our Model Exploitation & Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation, unauthorized access, account farming and reseller abuse, and fraud and scam operations. You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework, tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share - Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting - Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work - Capable of independently leading complex investigations. - Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path - Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise - Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up - Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels - Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly - Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements - Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape Minimum qualifications - Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors - Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators - Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it - Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities - Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale - Have built processes, detection systems, or programs from scratch and can show what changed because of them - Communicate crisply with executives, engineers, and external partners alike Preferred qualifications - Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale - Background in financial crime investigation or fraud analytics - Experience working directly with U.S. government stakeholders on threat reporting - A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks - Fluency in Mandarin Chinese and/or Russian with nuanced regional and geopolitical context - Active Top Secret security clearance The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $375,000 - $455,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Threat Intel Manager, Influence Operations & Surve...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our Influence Operations & Surveillance team within Threat Intelligence. This team detects, investigates, and disrupts the misuse of Anthropic's AI systems for influence operations, coordinated inauthentic behavior, and surveillance operations by authoritarian states and the commercial spyware ecosystem. This is a ground-floor leadership role. The mission area today produces some of our most consequential casework and external reporting almost entirely through manual investigation; you will stand up its purpose-built detection capabilities, set the strategy for how a frontier AI company finds and counters state-linked information manipulation and surveillance misuse, and you'll personally be involved with the most complex investigations. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Own strategy, priorities, and outcomes for the Influence Operations & Surveillance threat intel mission area - Hire, manage, and develop a small team of technical threat investigators with IO and surveillance expertise - Personally lead investigations into state-linked surveillance misuse including commercial spyware vendors and surveillance products whose end customers are authoritarian governments and AI-enabled influence campaigns - Stand up the mission area's first automated detection: abuse signals, behavioral clustering, and coordinated-network detection tailored to information manipulation and surveillance tooling - Conduct cross-platform analysis linking on-platform activity to broader campaigns across social media, messaging platforms, and the spyware supply chain - Attribute campaigns to specific actors, with particular focus on state-sponsored operations from geopolitically significant regions - Own external engagement: government partners, platform integrity teams, academic and civil-society researchers, and threat intelligence sharing communities - Drive public and partner-facing reporting on AI-enabled IO and surveillance, and inform safety-by-design strategies as multimodal and agentic capabilities reshape the landscape Minimum qualifications - Have deep subject matter expertise in influence operations, coordinated inauthentic behavior, or state surveillance / commercial spyware ecosystems - Have led investigative teams or threat intel teams. - Have demonstrated proficiency in SQL and Python for data analysis and threat detection - Have experience attributing campaigns to specific threat actors, including state-sponsored operations - Have strong OSINT tradecraft for investigating online information ecosystems - Have hands-on experience with large language models and how they can be weaponized for IO and surveillance - Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership Preferred qualifications - Experience at a major technology platform on influence operations, platform integrity, or content authenticity - Background in intelligence analysis, information operations, or counter-disinformation in government or military contexts - Experience investigating commercial spyware or surveillance-as-a-service vendors (e.g., civil-society or vendor-research backgrounds) - Experience investigating operations linked to Chinese, Russian, Iranian, or other state-sponsored campaigns - Fluency in Mandarin Chinese, Russian, Farsi, and/or Arabic with nuanced regional and geopolitical context - Familiarity with social network analysis for mapping coordinated behavior - Active Top Secret security clearance The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $375,000 - $455,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Threat Intel Manager, CBRN-E & Advanced Weapons
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our CBRN-E & Advanced Weapons team within Threat Intelligence. This team detects, investigates, and disrupts attempts to misuse Anthropic's AI systems for chemical, biological, radiological, nuclear, and explosives threats and for the development of advanced or novel weapons. You will mature this from a promising start into a rigorous program, hiring investigators with real CBRN-E, weaponization, and counterproliferation expertise, sharpening detection beyond broad harm screens into threat-specific capabilities, and personally leading the cases where scientific judgment determines whether we're seeing curiosity, legitimate research, or a genuine weapons-development attempt. The area carries significant engagement with government, biosecurity, and scientific stakeholders. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Own strategy, priorities, and outcomes for the CBRN-E & Advanced Weapons mission area; mature it from an emerging function into a rigorous investigative program - Hire, manage, and develop a team of investigators with deep domain expertise across biological, chemical, and weapons-development threat areas - Personally lead investigations into attempts to use our systems to develop, enhance, or disseminate CBRN-E weapons, or advanced weapons capabilities - Evolve detection from broad harm screens toward CBRN-specific signals and methodologies tailored to dual-use research concerns, in partnership with our collections engineers - Set the analytic quality bar: cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported weapons programs - Own escalation and enforcement decisions with policy and enforcement teams for the highest-severity misuse category we handle - Lead external engagement with government agencies, biosecurity and chemical-security research communities, and scientific organizations - Inform safety-by-design and capability-evaluation strategies by forecasting how threat actors will leverage frontier AI for CBRN-E purposes - Serve as a liaison to government partners, educating stakeholders on AI-enabled threats through regular reporting and briefings. Minimum qualifications - Are an intelligence analyst, policy expert, or researcher with deep domain expertise in biosecurity, chemical defense, weapons non-proliferation, dual-use research of concern (DURC), or related CBRN-E threat domains - Have led investigative or analytic teams and are a senior domain expert with demonstrated mentorship and program-building experience ready to lead - Have experience with threat actor profiling,threat intelligence analysis frameworks, and collection frameworks - Have hands-on experience with large language models and how AI could be misused for CBRN-E threats - Have excellent stakeholder management skills across researchers, policy experts, legal teams, government, and external partners - Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership Preferred qualifications - Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or a related field - Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats in the intelligence community or defense organizations - Experience working with government agencies, defense/national security organizations, or in regulated environments handling sensitive CBRN-E programs, counterproliferation and threat analysis. - Background in AI safety, machine learning security, or technology abuse investigation - Experience building and scaling threat detection systems or abuse monitoring programs - Active Top Secret security clearance The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $375,000 - $455,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Threat Intelligence Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Threat Intelligence Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact. This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function. Responsibilities: - Build automated detection systems that use disparate signals to identify abusive behavior. - Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes - Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data - Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations - Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries - Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure - Establish feedback loops with investigators to tune detection systems and reduce false positives - Scrape and normalize data from external sources to feed threat detection and enrichment workflows You may be a good fit if you: - Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation - Have experience with data pipeline orchestration tools (Airflow, DBT, or similar) - Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques - Have experience integrating external APIs and building data ingestion systems - Can translate investigator needs and workflows into technical requirements - Are comfortable building v0 systems and iterating based on user feedback - Have strong communication skills for working closely with non-engineering stakeholders Strong candidates may also have: - Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII) - Background in cyber threat intelligence, security operations, or abuse detection - Experience building MCP servers or similar tool integrations for AI systems - Familiarity with web scraping and data extraction at scale - Experience with behavioral analytics or anomaly detection systems - Understanding of LLM capabilities and how to leverage them for automation - A Top Secret Clearance Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Third Party Risk Analyst, Security GRC
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Third Party Risk Management (TPRM) team sits within Security GRC and is responsible for risk management of our vendor and partner relationships, making risk visible to the people who need to act on it, and driving it down. We're building the program for what a frontier AI lab actually has at stake: the models, the research IP, the safety commitments, and the infrastructure that keeps Claude available to customers. The program is designed agent-first, with an AI risk agent handling intake, tiering, and evidence collection so that people spend their time on judgment, remediation, and the vendors that matter most. This role owns the top of that risk stack. You will run the Mission Critical and Highest-Risk vendor portfolios. On the Mission Critical side that means the compute, data center, and data-pipeline vendors where a tier rating is the start of the conversation rather than the end of it: exit and failover planning, single-point-of-failure analysis and treatment, and financial and solvency screening. On the Highest-Risk side that means the vendors with the deepest access to our data and systems, where you'll make sure assessment depth matches the exposure and drive remediation on what those assessments surface. You'll also carry the operational baseline the whole team shares (intake reviews, QA on agent output, escalations, reporting) so the program keeps moving while the portfolio work is underway. Key responsibilities - Own the Mission Critical vendor portfolio: maintain the tiered list, validate it against business impact analysis findings, support exit and failover planning, and drive risk treatment for single points of failure with Procurement, Business Continuity, and business owners - Manage the Highest-Risk vendor portfolio: keep security, privacy, and compliance assessment depth aligned to active vendor exposure, and drive remediation with the relevant domain teams - Support vendor incident response: vendor-side impact assessment, business-owner coordination, and post-incident risk treatment - Run inherent risk assessments through the intake workflow: review agent-prefilled tiering, evaluate vendor controls and evidence across security, privacy, compliance, and operational risk, determine residual risk, and route to domain reviewers where deeper assessment is warranted - Operate the TPRM issue management workflow: document findings with clear risk statements, assign owners, track treatment to closure - Tune and maintain the TPRM Risk Agent alongside the team through prompt development, backtest calibration, error analysis, and output QA - Contribute to KPI/KRI reporting on portfolio coverage and cycle time Minimum qualifications - Experience running third party or vendor risk assessments end to end at a technology company: scoping the engagement, determining inherent risk, reviewing controls and evidence, documenting residual risk, and driving findings to closure - Working knowledge of risk fundamentals (inherent and residual risk, control effectiveness, compensating controls, risk acceptance) and the judgment to apply them when the evidence is incomplete or the answer isn't in a framework - Ability to assess a vendor across security, privacy, compliance, and operational risk domains, and to recognize which findings you can close yourself and which need a domain specialist - Track record of driving risk treatment to closure through influence across teams with competing priorities - Experience building or tuning an LLM-backed workflow, agent, or automation in a risk, compliance, or operations context, including tuning prompts and reviewing model output for accuracy - Experience building or operating issue management workflows: logging issues with a clear owner and due date, tracking remediation, and escalating when treatment stalls - Hands-on time in a procurement or GRC platform with an understanding of how intake, tiering, and assessment routing fit together - Working knowledge of business continuity, disaster recovery, and concentration risk concepts, with the ability to apply them to a vendor portfolio Preferred qualifications - Experience assessing cloud infrastructure, data center, or data-pipeline vendors - Experience with vendor financial health or solvency screening (credit models, financial statement review, or tools such as RapidRatings, CreditSafe, or LSEG) - Experience supporting SOX, SOC 2, or ISO 27001 third party or vendor management controls - Exposure to exit planning, contract termination provisions, or supplier failover testing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Specialist, Claude Code
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is hiring Technical Architects: hands-on builders and live technical communicators who help our customers go from "we bought Claude" to "our people use it every day." You'll be the technical partner our CSMs pull into the room whenever the work gets technical. For our customers, that's most of the time. One week you're running an advanced Claude Code hackathon for 1000 engineers at a global bank. The next you're on a call with their CISO walking through data handling, SSO, and governance controls. The week after, you're pair-building a plugin with a customer's platform team and debugging a SCIM sync live while thirty people watch. You are the helper people look for. This is a post-sale role. You'll work alongside CSMs, Applied AI, Support, FDEs, and more. We're looking for technologists who could have been researchers or staff engineers, but who get the most energy from helping customers get unstuck by teaching them something new. What you'll do - Be the technical lead in customer-facing moments across the post-sale journey: onboarding workshops, developer hackathons, live troubleshooting, executive security reviews, adoption working sessions. - Build and ship working software (Claude Code plugins, agents, sub-agents, MCP integrations, Cowork skills) both as customer deliverables and as reusable field assets. - Drive adoption of the Claude Code capabilities that make the product stick (sub-agents, skills, hooks, MCP, headless mode, managed settings) and turn new capabilities into field-ready demos and guides within days of release. - Own enterprise deployment and identity conversations: SSO (SAML/OIDC), SCIM provisioning, role, seat, and spend-limit management, sandbox and permission design. Sit credibly across from CISOs and security architects. - Advise and unblock customers running production workloads on the Anthropic API and on Bedrock / Vertex, in close partnership with Applied AI. - Teach. Design and deliver enablement that turns users into daily active developers, for audiences ranging from senior staff engineers to business users new to AI and develop the customer champions who carry adoption after you leave the room. - Represent Anthropic at customer all-hands and builder events, and bring structured field signal back to the Claude Code and Cowork product teams. - Partner tightly with CSMs as their technical counterpart, and with Applied AI, security specialists, Product Support, Engineering, and Sales as the connective technical tissue of the account. What we're looking for - You build. You've shipped real software, you've used Claude Code or comparable AI coding tools yourself, and you can stand behind your engineering choices. - You hold the room. You're at ease being the technical voice in front of senior developers, IT and security leaders, and non-technical stakeholders (often in the same hour), and you stay calm and useful when something breaks live. - You like the messy middle. You’re comfortable being pulled into an ambiguous customer situation and developing a solution in real time. - You're service-oriented. Helping a colleague or a customer get unstuck is the part of the day you look forward to. - You can travel. Expect regular on-site time with customers. - You think about responsible use. You've built with LLMs hands-on and you have an instinct for how they should be used responsibly and effectively inside organizations of all shapes and sizes. What you'll learn - How Claude is served. We'll teach you the service delivery side of Anthropic - how inference runs behind the API and Claude Code, and what drives capacity, latency, and reliability - so you can walk a customer's engineering and security teams through it at whatever depth the conversation and our agreements allow. Nice to have - Hands-on depth with enterprise identity (SAML, OIDC, SCIM) across major IdPs (Okta, Entra ID, Ping, Google Workspace, etc.) and with security review processes (SOC 2, ISO 27001, HIPAA, FedRAMP). - Experience running on or supporting Bedrock / Vertex / multi-cloud LLM deployments. - Experience with regulated customers (financial services, healthcare, public sector) and delivering alongside SI/GSI partners. - A track record of public technical communication: YouTube, TikTok, Instagram, blogs, in-person talks, workshops, courses, writing, seminars. - Time spent in a pre-sales solutions, post-sales, support, implementation, or technical account role. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £180,000 - £225,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Recruiter, Security
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Security organization protects the models, the infrastructure, and the people behind them, spanning platform and application security, detection and response, identity, compliance, corporate engineering and IT, insider risk, and physical security. The adversaries are well resourced, the assets are novel, and the consequences of getting it wrong extend beyond Anthropic. As Technical Recruiter, Security, you'll join the small team of recruiters who hire for that organization, owning full lifecycle recruiting for your searches and partnering with security leaders to turn ambiguous needs into clear search strategies. Security professionals are among the most heavily recruited people in technology, and earning their attention takes real domain fluency rather than a template. Key responsibilities - Own full lifecycle recruiting for a portfolio of roles across the Security organization, from intake through offer and close - Run structured intakes with security hiring managers, translating ambiguous needs into scoped requirements, calibrated bars, and search strategies - Build and maintain pipelines of specialized security talent, with an emphasis on passive candidates - Refine security interview loops, take-home assignments, and scorecards alongside hiring managers, your recruiting counterparts, and Recruiting Operations - Develop genuine domain fluency so you can hold a credible conversation with a detection engineer, a cryptographer, and a compliance lead in the same week - Advise hiring managers with market data and candid calibration feedback, and influence decisions through credibility rather than volume - Partner with Compensation, People Partners, and Mobility to structure equitable offers and guide candidates to close - Handle sensitive role and candidate information with discretion, including for searches whose scope is confidential Minimum qualifications - Deep full lifecycle recruiting experience, with substantial time supporting security, infrastructure, or comparably technical engineering organizations - Ability to hold a substantive technical conversation about security domains such as application security, cloud and infrastructure security, detection and response, identity, or compliance, and to evaluate technical qualifications rather than match keywords - Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools - Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design - Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers on complex searches - Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it Preferred qualifications - Experience recruiting at a high-growth technology, AI, or machine learning company - Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not - Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security - Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent - Comfort using LLMs to accelerate sourcing, research, and market mapping The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Recruiter, Infrastructure
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. As Technical Recruiter, Infrastructure, you'll join the small team of recruiters who hire for that organization, owning full lifecycle recruiting for your searches and partnering with infrastructure leaders to turn ambiguous needs into clear search strategies. Key responsibilities - Own full lifecycle recruiting for a portfolio of roles across the Infrastructure organization, from intake through offer and close - Run structured intakes with infrastructure hiring managers, translating ambiguous needs into scoped requirements, calibrated bars, and search strategies - Build and maintain pipelines of specialized infrastructure talent, with an emphasis on passive candidates - Refine infrastructure interview loops, take-home assignments, and scorecards alongside hiring managers, your recruiting counterparts, and Recruiting Operations - Develop deep domain knowledge aligned with the teams you support, so you can identify niche talent with the right specific domain fit - Advise hiring managers with market data and candid calibration feedback, and influence decisions through credibility rather than volume - Partner with Compensation, People Partners, and Mobility to structure equitable offers and guide candidates to close - Handle sensitive role and candidate information with discretion, including for searches whose scope is confidential Minimum qualifications - Deep full lifecycle recruiting experience, with substantial time supporting infrastructure, platform, or comparably technical engineering organizations - Ability to hold a substantive technical conversation about infrastructure domains such as Kubernetes and container orchestration, cloud networking, cluster networking, and systems languages, and to evaluate technical qualifications rather than match keywords - Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools - Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design - Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers on complex searches - A strong sense of ownership over your work, and the adaptability to adjust as priorities and hiring needs shift - Genuine interest in Anthropic's mission and in the role a strong infrastructure function plays in achieving it Preferred qualifications - Experience recruiting at a high-growth technology, AI, or machine learning company - Working knowledge of the infrastructure and platform talent landscape, including where strong large-scale ML training and systems infrastructure talent tends to come from - Experience hiring for hyperscale cluster infrastructure, research and platform infrastructure, privacy infrastructure, or sandboxing and isolation engineering - Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent - Comfort using LLMs to accelerate sourcing, research, and market mapping The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Silicon
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building custom silicon for Claude. The hardware our models run on is one of the most direct levers we have on capability, cost, and reliability — and we've decided to take design authority over it ourselves. We're looking for a Technical Program Manager to own end-to-end execution of our silicon, from architecture definition through tapeout, first-silicon bring-up, and production ramp. You'll be working alongside a small group of domain experts across front-end design, verification, physical design, DFT, analog/mixed-signal, foundry, and packaging. There is no process to inherit — you'll build the execution machinery this program runs on. This is a partner-heavy program by design. You'll drive a portfolio of external engagements — ASIC design services, IP vendors, foundry, and OSAT. You should have shipped chips before, know what a realistic silicon schedule looks like and its failure modes, and be comfortable making consequential program calls without a large organization behind you. And because this is Anthropic, you'll have Claude as a collaborator — we expect the TPMs on this team to push hard on what AI-assisted program management can look like. Key responsibilities - Own the integrated silicon program plan — architecture closure, RTL freeze, DV milestones, IP delivery, PD closure, DFT, tapeout, and post-silicon bring-up. - Drive external partner execution across ASIC design partners, IP vendors, foundry, and packaging/test. - Run technology and IP selection as a program: track candidate vendors and options, drive evaluations to a decision, and land the build / buy / license calls with engineering leadership. - Build the execution mechanisms a silicon team needs — milestone definitions, risk and dependency tracking, design reviews, release management, exec reporting — and keep them lightweight enough that engineers actually use them. - Manage the interface between silicon and its consumers: hardware systems for package/board/bring-up, and inference/kernels/compiler teams for hardware-software co-design, so trade-offs land as coordinated decisions rather than late surprises. - Own the post-silicon program — bring-up planning, ATE/test handoff, sample distribution, validation, and the path to production readiness. - Develop and share AI-assisted approaches to program management — schedule and dependency modeling, spec and milestone consistency checking, partner-deliverable tracking, status synthesis. Minimum qualifications - 8+ years in silicon/SoC program management, chip lead, or an equivalent role that owned a chip schedule end to end. - Direct ownership of at least one program that taped out and reached production, with milestones you can speak to in detail — including where it slipped and what you did about it. - Working technical fluency across the silicon lifecycle — front-end, DV, PD, DFT, foundry, packaging. - Experience running external silicon partners — ASIC houses, IP vendors, foundry, or OSAT — including SOW scoping, delivery tracking, and escalation. - Track record of building program mechanisms from scratch on an ambiguous, fast-moving effort. - Strong written communication — plans, reviews, and exec updates that many teams depend on. - Comfort operating with high autonomy and limited process on a highly dynamic program. Preferred qualifications - Experience on ML accelerators, high-performance compute, networking, or other large, high-bandwidth SoCs at advanced process nodes. - Experience on a first-generation or early silicon program, including standing up flows, methodology, or vendor relationships from nothing. - Experience with both partner-executed and fully in-house programs, and a view on the trade-offs between them. - Prior hands-on engineering background in one or more silicon domains (design, DV, PD, DFT, or SI/PI). - Familiarity with the chip-package-system interface and co-design with a hardware systems team. - Experience with hardware-software co-design programs — working directly with compiler, kernel, or runtime teams. - Practical experience using AI tools in your own workflow, and clear ideas about where they help and where they don't. - BS/MS in EE, CE, CS, or a related field, or equivalent experience. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Security
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Security, you'll drive execution of high-stakes programs that span security engineering, infrastructure, and cross-functional teams across Anthropic. You'll be responsible for the strategy, planning, and execution of technical security programs that enable Anthropic to meet its Responsible Scaling Policy (RSP) commitments while building towards a security posture that scales with our rapid growth. This role sits at the intersection of Security Engineering, Security Compliance, Infrastructure, Product, Research, Policy, and more. This role demands someone who thrives in ambiguity, makes well-reasoned decisions under pressure, and can translate complex security requirements into executable programs with compressed timelines. Responsibilities: - Own end-to-end security program execution for RSP security readiness – Drive security workstreams from requirements interpretation through implementation, coordinating across Security Engineering, Infrastructure, Research, and Compliance teams to ensure we meet RSP commitments on aggressive timelines - Coordinate complex multi-team deployments – Manage security control rollouts and migrations, like endpoint hardening and egress reduction that require careful change management across engineering organizations - Make real-time technical trade-off decisions – Balance competing constraints between security controls, research velocity, and operational feasibility during fast-moving program cycles - Build program structure for emerging security domains – Create program charters, establish roles and timelines, develop communication strategies, and define success metrics for nascent security initiatives - Partner with third-party partners – Manage security aspects of infrastructure partnerships, including contract requirements, relationship management, and security assurance processes - Lead stakeholder communication and executive reporting – Prepare regular status updates, deliver company-wide communications, lead program reviews, and ensure leadership has visibility into critical security milestones, blockers, and risks You may be a good fit if you: - Have experience driving cross-functional projects, building longer-running programs, and interfacing with technical and non-technical stakeholders. - Have experience executing technical programs that require systems and engineering-level knowledge. - Have a deep interest in and/or a willingness to learn about cybersecurity or regulatory compliance. - Have experience leveraging LLMs to automate workflows, improve operational efficiency, and develop novel solutions for complex technical and organizational challenges. - Have experience reporting on complex programs through data-driven benchmarks, including writing SQL queries. - Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action around security initiatives, policies and procedures. - Have a track record for being able to successfully organize, implement and manage complex programs and projects. - Are used to working through trade-offs, balancing competing priorities, and having your mind changed. Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Safeguards (Infrastruct...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable : when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely. As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving. What You'll Do: - Own the Safeguards Engineering ops review - Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made. This is the heartbeat of how Safeguards Eng stays ahead of operational risk. - Drive incident tracking and post-mortem execution - When incidents happen — and in this space, they happen regularly — you'll make sure they get followed through properly. That means tracking incidents across the organization (including those owned by partner teams like Inference), ensuring post-mortems get written, and most critically, making sure the action items that come out of them actually get done. Closing the loop on post-mortem actions is one of the highest-leverage things this role does. - Establish and maintain SLOs with partner teams - Work with Safeguards Engineering teams and key partners — particularly Inference and Cloud Inference — to define service-level objectives for safety-critical pipelines. Then build the tracking and reporting that makes it possible to tell whether those SLOs are being met, and surface it when they're not. - Maintain runbook quality and incident-ownership clarity - Safety-critical systems need clear playbooks for when things go wrong. Partner with engineering leads to keep runbooks accurate, actionable, and up to date — and ensure that ownership of incidents is unambiguous so that nothing falls through the cracks during an active incident. - Drive platform migrations and infrastructure projects - Own the program management for the larger infrastructure work on the roadmap: migrating the infra from one platform to the next, moving from one incident platform to the next and from one cloud system monitoring to another, and other migrations as they come. These are cross-team efforts with real dependencies — your job is to keep them sequenced, on track, and connected to the teams that need them. - Coordinate evals platform improvements - Partner with the evals engineering team to drive improvements to the evaluation platform — including self-serve capabilities and the broader eval factory infrastructure. Help scope the work, track dependencies on other Safeguards systems, and make sure the evals platform is keeping pace with the team's needs. You might be a good fit if you: - Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously. - Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why — you don't need to write the code, but you need to follow the technical thread. - Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them. - Can work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication. - Thrive in environments where the work shifts between "keep the lights on" and "build something new" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either. - Have experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you. Strong candidates may also: - Have experience with SRE practices, incident management frameworks, or on-call operations at scale. - Have worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted. - Have experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can't go offline. - Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them. Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, RL Research
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Our Reinforcement Learning teams are central to advancing our AI systems, contributing to every Claude model and driving the autonomy and coding gains in our latest releases. The work spans computer use, code generation through RL, fundamental RL research for large language models, scalable infrastructure and training methodologies, and model reasoning. Research TPM team supports the full model development lifecycle, from pre-training through post-training, operating at the frontier of AI development. About the Role As a Technical Program Manager on the reinforcement learning team, you will own the systems and programs that determine how fast our research moves: a trustworthy read on the state of RL research, the review and prioritization processes that turn that read into critical decision for production RL runs. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when research or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity. Join us in our mission to build AI systems that are safe, reliable, and beneficial to humanity. Responsibilities - Deliver a regular read on the ground truth in RL research, covering performance against baselines, experiment results, day-to-day health, and incidents - Work with RL org leads on prioritizing, ranking, and tracking the state of experiments - Drive research reviews end to end in partnership with set the agenda, make sure the right context is in the room ahead of time, and close the loop on what gets decided - Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down - Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions You May Be a Good Fit If You - Have a background in ML engineering or ML research before transitioning to technical program management - Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production - Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research - Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers - Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting - Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery - Are excited about pushing the frontier of what RL can do at scale The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Research
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before. Note: This role may require responding to incidents on short-notice, including on weekends. Responsibilities - Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve - Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast - Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent - Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down - Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams - Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing - Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning - Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations - Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution You May Be a Good Fit If You - Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems - Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers - Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments - Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization - Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership - Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery - Are comfortable with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes - Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems - Are excited to redefine what technical program management looks like at the frontier of AI research The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Recruiting Technology
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is growing fast, and recruiting is one of the highest-leverage functions in the company. We’re constantly investing in systems and processes to support our rapid scale and enable our recruiters and hiring teams to be more efficient. The current technology stack is built and operated by several teams across third-party platform configuration, custom internal tooling, analytics and forecasting, core people systems, and an AI tooling layer. We're looking for a Technical Program Manager to own the planning and execution rhythm that connects these teams, drive the technical interconnection of the systems, and give Recruiting leadership a single coherent view of priorities, dependencies, and progress. You’ll help evolve how recruiting functions through the use of Claude, connecting that work to where the broader company is going. That includes building the bridge between recruiting and company-wide roadmap and headcount planning so we're staffing proactively rather than reacting. This is a first-of-its-kind role at Anthropic. It sits within the centralized Technical Program Management organization and partners directly with Recruiting and People leadership. Part of the job will be to help us figure out the right long-term model for TPM support for the People org. Responsibilities - Build and run the cross-team planning and operating cadence for recruiting technology: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for Recruiting leadership - Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across teams that don't share a reporting line - Lead the technical interconnection work: integration across third-party platforms, internal custom tooling, and the data and analytics layer so information flows cleanly end to end - Partner with engineering and AI teams to bring Claude deeper into the recruiting workflow, balancing speed of adoption with the controls and human-in-the-loop design that make it trustworthy - Connect recruiting to company-wide planning: build the link to roadmaps across the business so headcount needs are visible early and recruiting can staff proactively - Own build-vs-buy and vendor evaluations where they cross team boundaries, including the security, contract, and integration tradeoffs that come with them - Establish the program infrastructure: governance, status reporting, risk tracking, and the escalation paths that let leadership make tradeoffs quickly - Help define the durable model for TPM support in the People organization, including scope, headcount, and reporting structure You may be a good fit if you - Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments - Have driven planning and execution across teams that don't share a reporting line, and are comfortable influencing without authority - Have technical depth in systems integration: APIs, data flows between SaaS platforms, and the tradeoffs between configuring third-party tools and building custom - Have worked with or close to recruiting, people, or HR technology and understand how an ATS, HRIS, scheduling, and analytics stack fit together - Can build trust with engineers, recruiters, analysts, and executives, and translate between them - Are genuinely excited about using AI to change how a core business function works, and curious about what recruiting looks like when frontier AI is in the loop on every step - Thrive when the role itself is still being defined and see shaping it as part of the job Strong candidates may also have - Background in recruiting operations, people analytics, or HR tech product management - Experience integrating AI or LLM-based tooling into operational workflows - Familiarity with headcount planning, workforce planning, or connecting business roadmaps to hiring plans - Experience teaching partner teams how to work with technical program management when the function is new to them Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Launches
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Product, you'll drive the programs that bring Anthropic’s AI capabilities to the world. You’ll work closely with research teams to understand new model capabilities, then orchestrate across engineering, product, infrastructure, and go-to-market teams to ensure we launch reliably and at pace. This role is essential in orchestrating the cross-functional effort required to launch successfully as Anthropic continues to scale. This role offers unique challenges in coordinating high-stakes technical programs while maintaining the quality and reliability our customers expect. This position requires deep technical fluency, the ability to earn trust with researchers and engineers, and a talent for driving alignment across teams with different priorities and working styles. Responsibilities - Lead end-to-end program management for model and product launches, coordinating between research, engineering, product, infrastructure, and partnership teams - Drive cross-functional alignment and decision-making across workstreams, ensuring teams are unblocked and launches stay on track - Partner closely with Research PMs and engineering leads to sequence work, manage dependencies, and navigate technical tradeoffs - Track and communicate program status, risks, and dependencies to leadership and stakeholders - Build strong relationships with technical stakeholders, earning trust through deep engagement with the details - Coordinate with research teams to understand upcoming model capabilities and prepare launch plans accordingly - Navigate tradeoffs between speed, quality, and scope, helping teams make informed decisions under pressure - Develop and improve launch processes, playbooks, and operational frameworks that scale with our growing complexity - Create and maintain documentation of launch processes, decision logs, and cross-functional dependencies You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs - Possess deep technical knowledge that allows you to engage meaningfully with ML researchers and engineers - Have experience managing programs with significant external dependencies and multiple stakeholder groups - Excel at translating between technical teams and stakeholders, making complex tradeoffs understandable - Can thrive in ambiguous situations, bringing structure to complex technical challenges - Have strong organizational skills and can manage multiple parallel workstreams effectively - Are comfortable operating at a fast pace where priorities shift and new challenges emerge quickly - Have excellent written and verbal communication skills, with the ability to influence without authority - Build trust quickly and maintain strong relationships even under pressure - Are passionate about Anthropic's mission and interested in the challenges of bringing frontier AI capabilities to users safely The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Infrastructure
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things. As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands. This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams. What you’ll do: Developer Productivity & Tooling - Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards - Coordinate large-scale migrations and platform modernization efforts across engineering teams - Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements - Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering Infrastructure Reliability & Operations - Drive programs to establish and achieve reliability targets across training infrastructure and production services - Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively - Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence Cross-functional Coordination - Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences - Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development - Drive alignment on priorities and timelines across teams with competing constraints You May Be a Good Fit If You - Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems - Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking - Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives - Have strong stakeholder management skills and can build trust with both technical and non-technical partners - Are comfortable navigating competing priorities and using data to drive technical decisions - Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling - Thrive in fast-paced environments and can balance strategic planning with tactical execution - Are obsessed with reliability, scalability, security, and continuous improvement - Have a passion for supporting internal partners like research to understand their unique needs - Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale - Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters) - Background working with research teams and translating their needs into concrete technical requirements - Experience driving adoption of AI tools to improve engineering productivity - Familiarity with observability tooling and practices Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Inference Performance
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Inference, you'll be the critical bridge between our inference systems and the broader organization. You'll drive strategic initiatives across inference runtime and accelerator performance—coordinating model launches, managing cross-platform dependencies, and ensuring reliability across multiple hardware targets. This role is essential for keeping our most contended infrastructure teams shipping effectively while Research, Product, and Safety all depend on their output. Responsibilities: - Systems Integration & Coordination : Lead cross-functional initiatives for new infrastructure integration, establishing clear ownership, timelines, and communication channels between teams. Drive end-to-end planning for major infrastructure transitions including platform modernization and new tech adoption. - Performance & Efficiency: Partner with engineering teams to identify optimization opportunities, track performance metrics, and prioritize work that unlocks capacity gains. Coordinate across runtime and accelerator layers to ensure efficiency wins ship without compromising reliability. - Launch Coordination: Drive end-to-end readiness for model and feature launches across multiple hardware platforms. Establish processes for cross-platform validation, manage launch timelines, and ensure smooth handoffs between runtime, accelerator, and downstream teams. - Strategic Planning: Own and prioritize the inference deployment roadmap, working closely with engineering leadership to prioritize initiatives and manage dependencies. Provide visibility into upcoming changes and their organizational impact. - Stakeholder Communication: Build strong relationships across research, engineering, and product teams to understand requirements and constraints. Translate technical complexities into clear updates for leadership and ensure alignment on priorities and timelines. - Process Improvement: Identify inefficiencies in current workflows and drive systematic improvements. Establish metrics and dashboards to track infrastructure health, capacity utilization, and deployment success rates. You may be a good fit if you: - Have several years of experience in technical program management, with proven success delivering complex infrastructure programs, preferably in ML/AI systems or large-scale distributed systems - Have deep technical understanding of inference systems, compilers, or hardware accelerators to engage substantively with engineers and identify technical risks. - Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives - Have strong stakeholder management skills and can build trust with both technical and non-technical partners - Are comfortable navigating competing priorities and using data to drive technical decisions - Have experience with infrastructure scaling initiatives, hardware integrations, or deployment governance - Thrive in fast-paced environments and can balance strategic planning with tactical execution - Are passionate about AI infrastructure and understand the unique challenges of deploying and scaling large language models Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Hardware Systems
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic trains and serves frontier AI models on some of the largest accelerator fleets in the world, and we're now building the custom hardware systems that fleet will run on — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface. We're looking for a Technical Program Manager to own execution of these hardware systems from concept through production deployment. You'll drive the program that turns architecture and specs into boards and racks that ship — managing ODMs, CMs, and component vendors on one side, and coordinating silicon, firmware, infrastructure software, supply chain, and datacenter teams on the other. This is a role on a new hardware team. You'll build the program cadence, review structure, and NPI process this team runs on. We need someone who has shipped hardware at scale, has a realistic view of ODM/CM schedules and where they break, and is comfortable owning consequential program calls without a large organization behind them. Key responsibilities - Own the integrated hardware systems program plan across board, chassis, rack, and interconnect — from requirements through EVT/DVT/PVT, qualification, and production ramp — and be the source of truth on schedule, risk, and readiness. - Drive execution with ODMs, contract manufacturers, and component/optics vendors: SOWs, build schedules, deliverable tracking, factory readiness, and escalation when they slip. - Stand up and run the NPI cadence — build matrix, engineering reviews, DFx, issue triage, exit criteria — and keep it lightweight enough that a small, senior team actually uses it. - Drive the bring-up and validation program for new platforms: lab and pilot-rack logistics, firmware/BMC/diagnostics coordination, test coverage, and the reliability and telemetry targets a platform has to hit before it enters the fleet. - Own the interfaces that make or break a hardware program: silicon (samples, package, power/thermal envelopes), datacenter (power, cooling, rack integration, deployment windows), infrastructure software (management plane, provisioning, telemetry), and supply chain (long-lead components, second-sourcing, allocation). - Run partner and technology evaluations as a program — candidate ODMs, reference platforms, connector/optics/memory options — and land build / buy / co-design recommendations with the architecture team. - Own program communication upward and outward — for an audience that ranges from architects to executives. - Develop and share AI-assisted approaches to hardware program management — issue-tracker synthesis, build-readiness checking, spec/BOM consistency, ODM-report digestion. Minimum qualifications - 8+ years in hardware systems / NPI program management for compute, networking, storage, or accelerator platforms. - Direct ownership of at least one platform from concept through volume production — you can walk through its EVT/DVT/PVT arc, what broke, and how you recovered. - Working technical fluency across the hardware stack — power delivery, thermal, mechanical, high-speed interconnect, board design, system management — sufficient to interrogate status and push back credibly on architects and vendors. - Experience managing ODMs/CMs and component vendors, including SOW negotiation, build tracking, quality escapes, and escalation. - Track record of standing up program mechanisms on a new or early-stage hardware effort, not just operating inside a mature PLC. - Strong written communication — plans, reviews, and exec updates that many teams depend on. - Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment. Preferred qualifications - Experience with AI/ML accelerator systems (GPU, TPU, custom ASIC), HPC, or hyperscale datacenter platforms and their scale-up / scale-out fabrics. - Experience taking a first-generation, custom-silicon-based system from bring-up through fleet deployment. - Experience with liquid-cooled and/or high-density rack architectures, rack level high power distribution, or optical interconnect programs. - Familiarity with the chip-package-system interface and coordinating tightly with a silicon team. - Experience with datacenter integration, deployment, and fleet-scale reliability/RAS programs. - Practical experience using AI tools in your own workflow, and clear ideas about where they help and where they don't. - BS/MS in EE, CE, ME, or a related field, or equivalent experience. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, GTM Systems
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role GTM Systems builds and operates the platform Anthropic's sales and partner teams run on: Salesforce as the core, plus the lead, marketplace, integration, and AI tooling that connect to it. The team is organized into experience pods, each owning one stage of the seller and partner journey. We're hiring a Technical Program Manager to own program delivery for the GTM systems portfolio. You'll drive roadmap execution, manage the dependencies spanning the seller and partner journey, from lead capture and routing through the core selling motion to marketplace and co-sell tooling, Responsibilities - Own delivery for your program area's roadmap: intake, prioritization, sequencing, status, and the operating cadence - Manage your program's dependencies on the shared GTM platform - Partner with Business Systems Analysts on requirements and design, and with developers on technical tradeoffs, build-vs-buy calls, and vendor evaluation - Help build the operating model for a team that's scaling: intake, planning, and sequencing practices that hold up as the portfolio grows - Give GTM Systems and Sales leadership a clear view of your program's commitments, risks, and progress - Help bring Claude into the GTM workflow where it makes sellers and partner managers faster You may be a good fit if you - Have 6+ years of technical program management or business systems delivery experience, with a track record of owning a roadmap end to end - Have worked in or close to a Salesforce-centric GTM or RevOps systems org and understand how lead, opportunity, partner, and quote objects connect - Have managed delivery where multiple teams ship into one core system on a shared release process - Have partnered with audit, controls, or compliance functions on revenue-impacting systems work - Can build trust with business systems analysts, developers, sales operations, and finance, and translate between them - Are comfortable driving outcomes across teams that don't report to you - Are genuinely curious about how AI changes GTM operations and willing to experiment Strong candidates may also have - Experience with one or more of: lead routing and scoring platforms, marketplace and co-sell tooling, CPQ, partner relationship management - Background in RevOps, sales systems product management, or business systems analysis - Experience standing up release management or CI/CD for a Salesforce org - Familiarity with SOX ITGC or revenue controls Deadline to Apply: None. Applications are reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Enterprise Commerce
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's enterprise business is growing fast, and the systems that turn a closed deal into recognized revenue are scaling to keep up. Quote-to-cash spans configure-price-quote, contracting, order management, provisioning, billing, and revenue recognition, and the work to evolve it crosses engineering, GTM systems, finance, legal, and operations teams. We're looking for a Technical Program Manager to own the planning and execution rhythm across these teams, drive the highest-priority cross-team programs end to end, and give leadership a single coherent view of priorities, dependencies, and progress. Responsibilities - Build and run the cross-team planning and operating cadence for quote-to-cash: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for engineering and finance leadership - Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across engineering, GTM systems, deal desk, order management, accounting, and legal - Own the SOX readiness program for quote-to-cash systems: gap closure, control design and evidence collection, and coordination with internal audit - Manage technical dependencies across the stack: CPQ, contract data model, provisioning automation, billing platform, and the integrations between them You may be a good fit if you - Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments - Have technical depth in enterprise systems integration: CPQ, ERP, billing, and provisioning platforms, the data flows between them, and the tradeoffs between configuring SaaS and building custom - Have run compliance or audit-readiness programs (SOX, SOC, or similar) and understand how control design, evidence collection, and engineering delivery fit together - Can build trust with engineers, finance and accounting partners, sales operations, legal, and executives, and translate between them - Thrive when the operating model itself is still being defined and see shaping it as part of the job Strong candidates may also have - Background in revenue operations, order-to-cash, billing platform, or finance systems product management - Familiarity with Salesforce CPQ, contract lifecycle management, or marketplace provisioning (AWS/GCP/Azure) Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Program Manager, Data Center Infrastruct...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role You'll drive cross-functional execution of Anthropic's data center programs from construction through commissioning and day-to-day operations. Partnering with our Data Center and Compute teams, you'll own the program management that delivers buildings on time ready for production workloads. As we scale beyond our first sites, you'll focus on accelerating construction and deployment, building repeatable playbooks, and driving continuous improvement across our growing footprint. Responsibilities: - Manage and develop the DC infrastructure TPM team; hire and build out the function as we scale - Lead program reviews and executive communications on delivery status, risks, and blockers - Drive construction-to-production execution across multiple sites, coordinating with partners, contractors, and internal teams - Own overall schedule tracking, risk identification, and mitigation; creating clear visibility for leadership - Align with energy and location strategy and support site selection and due diligence criteria to facilitate scaling well in advance of aggressive compute demand - Manage long pole dependencies and long-lead time development & procurement across a dynamically changing global marketplace - Partner with DC and Compute teams to drive handover criteria between site completion, equipment deployment, and operations - Coordinate with Infrastructure, Security, and Compliance teams on evolving requirements; versioning, optimization, and expansion across sites - Drive partner accountability on contractual milestones and commercial commitments - Coordinate equipment delivery and manage vendor accountability on schedules; tracking production and shipping milestones while maintaining productive partnerships - Build repeatable processes and playbooks that scale across multiple concurrent site deployments - Travel (20%) to sites to validate progress and build contractor relationships You may be a good fit if you: - Have 7+ years in data center construction, operations, or infrastructure program management at hyperscale or critical infrastructure companies - Have management experience building and leading TPM or program management teams - Have led multi-site infrastructure programs with compressed timelines and complex cross-functional dependencies among multiple partners and vendors - Excel at aligning multiple partners, vendors, and internal engineering teams around shared deliverables - Can bridge physical infrastructure and software/security teams - Thrive in ambiguity and make decisions with incomplete information under schedule pressure - Communicate complex program status clearly to executives Deadline to apply: None applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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