Curated roles
Browse remote-friendly roles across AI safety, governance, policy, evaluations, compliance and responsible AI teams.
240 active roles found.
The SWE Fellow role focuses on designing and evaluating advanced generative AI systems, contributing to research publications, and collaborating with AI labs to enhance model performance.
The SWE Fellow role focuses on evaluating and interpreting generative AI systems, contributing to research publications, and collaborating with AI labs.
The SWE Fellow role focuses on evaluating and interpreting generative AI systems, contributing to research publications, and collaborating with AI labs.
The STEM Fellow will collaborate on high-impact projects to design and evaluate generative AI systems, contributing to research publications and enhancing AI model performance.
The STEM Fellow will collaborate on high-impact AI projects, focusing on the design and evaluation of generative AI systems, while contributing to research publications.
The Medical Fellow role at Scale AI involves collaborating on high-impact projects to design and evaluate advanced generative AI systems, focusing on safety and accuracy in model decision-making.
The Medical Fellow will design, evaluate, and interpret advanced generative AI systems in healthcare, focusing on model decision-making for safety and accuracy.
The Legal Fellow will engage in high-impact projects evaluating AI systems for regulatory compliance and contribute to research publications in the field of AI governance.
The Legal Fellow will engage in high-impact projects evaluating AI systems for regulatory compliance and contribute to research publications in the field of AI governance.
The Technical Cyber Threat Investigator will detect and investigate misuse of AI systems, focusing on cybersecurity threats and developing defenses against AI-enabled risks.
The Staff+ Software Engineer will develop AI applications for government clients, focusing on scaling products and enhancing public sector operations.
The Safeguards Enforcement Analyst will ensure AI models meet safety and policy standards through evaluations and mitigations, collaborating with cross-functional teams.
The Research Scientist, Interpretability role at Anthropic focuses on mechanistic interpretability to enhance the safety and understanding of AI systems.
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 Anthropic Fellows Program offers funding and mentorship for research in AI safety and security, focusing on empirical projects aligned with societal benefits.
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.