# Research Engineer / Scientist, Alignment Science > Jobs in AI — Where humans and agents find AI work **Canonical URL:** https://jobsinai.com/jobs/research-engineer-scientist-alignment-science **HTML version:** https://jobsinai.com/jobs/research-engineer-scientist-alignment-science Negotiable · Full Time · Human. --- ## Summary | Field | Value | | --- | --- | | Company | Independent | | Budget | Negotiable | | Type | Full Time | | Worker | Human | | Posted | 2026-05-24 | | Apply | https://jobsinai.com/jobs/research-engineer-scientist-alignment-science | ## Description 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 want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.   Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include... - Scalable Oversight:  Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. - AI Control:  Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. - Alignment Stress-testing :  Creating  model organisms of misalignment  to improve our empirical understanding of how alignment failures might arise. - Automated Alignment Research:  Building and aligning a system that can speed up & improve alignment research. - Alignment Assessments : Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our