Curated AI safety and governance jobs

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.

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.

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.

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.

The role involves developing hardware architectures for verifying and securing advanced AI systems, collaborating with AI safety researchers, and translating AI security requirements into hardware implementations.

The role involves building safety systems and infrastructure for AI-driven media experiences, focusing on real-time content moderation, risk detection, and ensuring responsible deployment of generative media.

The Technical Threat Investigator role involves conducting investigations into threats targeting OpenAI's models and products, focusing on identifying and disrupting misuse and ensuring compliance and safety in AI operations.

The role involves designing and implementing safety alignment techniques for AI systems, creating datasets for safety alignment, and building infrastructure for safety evaluations.

The role involves leading the SPAR program, the largest AI safety research fellowship, focusing on strategic expansions, managing research managers, and cultivating relationships with AI safety researchers.

Head of Talent Operations for an AI safety fieldbuilding organization, combining recruiting, ecosystem headhunting, grantmaking, and partnerships to support the AI safety talent pipeline.

Research manager for SPAR, an AI safety research fellowship, supporting mentors and mentees, program operations, and events for an AI safety fieldbuilding organization.

The role involves ensuring compliance with regulatory and ethical standards in AI operations, focusing on risk management and security compliance in AI development and deployment.

This role focuses on studying data types essential for building state-of-the-art AI agents, contributing to research on agent performance and model evaluations.