Curated AI safety and governance jobs

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

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.

Evaluation Engineer role focused on LLM evaluation frameworks, evaluation infrastructure, and production-readiness metrics for enterprise AI systems.

A 3-month full-time AI safety research fellowship with mentorship, reading groups on AI risks, and a final symposium in Cape Town.

Part-time mentor role supervising 3-month research projects for aspiring researchers in AI safety, policy, governance, or biosecurity.

Operations generalist role at an AI safety research nonprofit, with major responsibility for compliance tracking and operational support across finance, HR, IT, and special projects.

3-year PhD fellowship researching safety and security evaluation of deployed AI systems, including evaluation, red-teaming, monitoring, and vendor-independent auditing tools for high-stakes deployments.

Lead end-to-end hiring and talent operations for an AI safety and policy nonprofit focused on reducing risks from advanced AI.

Technical communications role translating AI research for policymakers, media, and the public, with explicit responsibility for communicating AI safety and responsible AI research.

Machine Learning Engineer building language-model products, evaluation systems, and trust/transparency features for research and decision-making. Relevant because the role explicitly includes model evaluations and process supervision for more trustworthy AI systems.

Senior hands-on product engineering role building analyst software for verification decisions and AI misuse prevention in a biosecurity-focused trusted-access layer.

Manages end-to-end AI alignment research projects, coordinating technical teams, collaborators, and funders on model safety and interpretability work.

Part-time remote teacher for a 14-week technical AI safety program, leading lectures, AI safety sessions, and participant support on alignment-related topics.

OpenAI program soliciting proposals for defensive AI applications in life sciences and public health, including biodefense, preparedness, biosurveillance, and responsible public-benefit distribution.

One-year full-time fellowship placing experienced technical and policy talent in federal executive branch offices to work on AI security-related issues, including AI governance, frontier model assessment, and government adoption for national security use cases.

Senior virologist role on DeepMind's Responsible Development and Innovation team focused on biology evaluations, LLM safety assessments, harm frameworks, and mitigation strategies for safe model releases.