Curated roles
Browse remote-friendly roles across AI safety, governance, policy, evaluations, compliance and responsible AI teams.
212 active roles found.
The Research Engineer, Universes role at Anthropic focuses on developing training environments for safe AI systems and includes responsibilities for building evaluations to measure AI capabilities.
The Research Engineer/Research Scientist role at Anthropic focuses on developing large language models with an emphasis on safety, alignment, and societal impacts.
The Research Engineer will redesign how language models interact with external data sources, focusing on safety and societal impacts.
The Research Engineer, Interpretability role at Anthropic focuses on building infrastructure for interpretability research to enhance AI safety through mechanistic understanding of models.
The Infrastructure Tax Lead at Anthropic will manage tax compliance and incentives for AI infrastructure, supporting the company's AI safety mission.
The Anthropic Fellows Program focuses on fostering AI research and engineering talent, with an emphasis on AI safety and security, particularly in reinforcement learning.
The Anthropic Fellows Program offers funding and mentorship for research in AI safety and security, focusing on empirical projects aligned with societal benefits.
A 4-month AI Security Fellows research program at Anthropic focused on AI safety/security projects, including red teaming and control evaluations, with mentorship and funding for empirical research.
The Anthropic Fellows Program offers funding and mentorship for AI research and engineering talent, focusing on projects aligned with AI safety and governance.
Research engineer role focused on designing and running model evaluations for Claude, including safety properties, agentic behavior, and evaluation infrastructure at scale.
4-month Anthropic Fellows research role in Economics & Policy focused on empirical research about AI's economic effects, societal impacts, and policy-relevant recommendations.
A full-time AI safety fellowship at Anthropic focused on empirical research projects in AI safety areas such as scalable oversight, adversarial robustness, AI control, and mechanistic interpretability.