Curated AI safety and governance jobs

Hybrid customer implementation engineer role focused on deploying compliant AI governance setups, translating customer needs into technical implementations, and supporting AI governance, transparency, and compliance.

Technical lead manager for Trust & Safety data engineering at OpenAI, building privacy-safe data systems for abuse detection, safety measurement, enforcement, and evaluation of safety models for frontier AI products.

Research Scientist role focused on frontier AI safety research and evaluations, specifically loss-of-control and harmful manipulation risks, evaluation awareness, sandbagging, and deception.

The Research Engineer role involves implementing and running safety evaluations on frontier AI models, focusing on loss-of-control and harmful manipulation risks.

Machine Learning Engineer building AI safety and security systems, including abuse detection, frontier model evaluations, and red teaming workflows.

The role involves supporting CivAI's mission to educate policymakers about AI risks, preparing briefings on AI developments, and developing strategies for outreach.

The Research Scientist role involves leading research on risks in frontier AI models, designing evaluation methodologies, and authoring safety reports to advance AI safety.

The Research Engineer role involves implementing and running safety evaluations on frontier AI models, focusing on loss-of-control and harmful manipulation risks.

Research scientist role focused on empirical and conceptual research into AI well-being, moral status, and related safety/welfare questions.

Nonprofit role focused on building the technical AI safety talent pipeline through advising, courses, grants, and field strategy.

Senior operations role on OpenAI's User Safety & Risk Operations team, building operating models for safety and risk workflows around product deployments, monitoring, escalation, and resolution.

Policy manager role focused on biosecurity policy, misuse prevention, product risk evaluation, and enforcement frameworks for dual-use capabilities.

Strategic partnerships role for Scale's Red Team and Safety function, managing frontier-lab engagements focused on AI red teaming, adversarial evaluations, and safety testing of frontier models.

Data science role supporting Anthropic's policy and public affairs work by producing analyses, dashboards, and regulatory-trend tracking for policymakers and regulators.

The role involves analyzing user behavior data to provide insights on safety concerns and defining metrics to measure success in deploying safe AI systems.

Lead responsible AI and data governance work, including AI governance policies, dual-use evaluations, bias testing, and controls for internal AI tools.

The AI Red Teamer role involves evaluating the security and resilience of advanced AI systems through red team assessments, adversarial testing methodologies, and identifying vulnerabilities to ensure safe deployment.

The AI Governance Advisor role involves building and delivering AI governance training, supporting customers in defining their AI governance roadmap, and managing customer engagements to ensure responsible AI practices.

Teacher role for an in-person bootcamp focused on technical AI safety instruction, facilitation, and curriculum development.