Curated AI safety and governance jobs

Software engineer for xAI’s evals platform, building systems to measure model capabilities and behaviors and turn quality, truthfulness, and safety into measurable criteria.

Tech lead/manager for evals infrastructure at Anthropic, building distributed systems and harnesses for frontier model evaluations that support safety decisions and launch readiness.

Contract infrastructure engineer role building and scaling the Loss of Control Observatory’s data pipelines, LLM-based classification systems, and monitoring dashboard for AI safety monitoring.

Research program management role focused on adversarial model research, safety and robustness evaluations, red-teaming, and identifying failure modes in advanced AI systems.

Research Engineer / Research Scientist role focused on empirical AI safety research for frontier AI systems, including experiments on LLMs, training/evaluation tooling, datasets, and benchmarks.

Research engineer internship focused on AI safety-relevant empirical research on LLMs, including AI security, machine ethics, AI alignment, and benchmarking AI risks.

Voluntary board member role providing governance, oversight, and strategic guidance for ERA’s frontier AI risk mitigation work, with explicit emphasis on AI safety and AI governance experience.

Policy Advisor/Senior Policy Advisor role focused on building campaigns to pass state AI laws, supporting AI policy development, and helping implement AI legislation affecting AI development and safety.

Research fellowship conducting independent AI governance research to inform high-stakes policy and strategic decisions, including risk management, threat modeling, technical governance, and frontier AI regulation.

Federal policy role focused on AI policy and legislative engagement with the U.S. Senate and Administration, including shaping AI-related legislation and advancing AI governance priorities.

Associate Director role at the Atlantic Council GeoTech Center leading AI and emerging technology policy work, with substantial responsibility for AI governance, responsible AI, and related policy briefs, convenings, and partnerships.

Staff Product Manager role focused on enterprise and AI governance, including compliance automation, AI policy enforcement, and support for emerging AI regulations such as the EU AI Act.

Senior principal solutions engineering role focused on AI and data governance solutions for enterprise customers, including translating regulatory expectations into scalable governance workflows.

ML Research Engineer focused on training, post-training, and evaluating LLMs, including alignment methods and safety/moderation-related datasets and policy systems.

AI Red Team Engineer focused on adversarial testing of LLM-powered systems, including jailbreaks, prompt injection, data leakage, policy bypass, and turning findings into regression tests and reports.

Research role building adversarial agent environments, evaluations, and tooling to study AI system failures, misalignment, and unsafe behaviors.

Research engineer role building an AI safety argumentation platform using ontologies, knowledge graphs, defeasible argumentation, and LLM-assisted pipelines to support AI risk management and governance communications.

Contract role focused on monitoring and enforcing abuse on AI products, including building detection, review, and enforcement systems for high-risk harms.

Engineering fellowship supporting AI abuse detection, red teaming, and related research/engineering work across software, data, and ML concentrations.