Curated AI safety and governance jobs

AI security researcher role focused on LLM security capabilities, benchmarks, risk identification, and security frameworks for model iteration.

AI red team engineer role focused on adversary emulation against AI-enabled systems, including the model and its surrounding hardware/software/network stack, to prepare defenders for real-world threats.

Project manager role leading pilot audits for frontier AI systems, focused on building AI auditing methodologies, assessment tools, and industry standards for third-party safety and security audits.

Cyber-focused AI red team role evaluating model capabilities, safeguards, and abuse risks in agentic systems, with direct responsibility for safety testing and mitigation recommendations.

Governance role focused on frontier AI safety and policy, including standards work, government model evaluations, incident disclosure, and external oversight/compliance practices for advanced AI systems.

Associate role on Faculty’s AI Safety team supporting frontier model evaluations, AI safety red teaming, and delivery of responsible AI projects for government and industry clients.

Lead role in OpenAI Product Policy focused on external advisory councils, research partnerships, and governance processes that inform AI product and policy decisions.

Government affairs and public policy lead covering the Middle East, with direct responsibility for AI policy, regulation monitoring, and advocacy related to responsible AI adoption.

Special projects role at an AI policy think tank focused on building AI governance field infrastructure, policy programs, and bridges between frontier labs and government.

Technical program management role driving AI safety and safeguards initiatives across deployment environments, including model evaluations, mitigations, abuse detection, monitoring, and readiness for high-impact deployments.

Senior advisory role focused on AI safety policy in Europe, including EU institutional engagement, AI governance recommendations, policy briefs, and technical research on evaluation methodologies, standards, and risk mitigation.

A paid MATS research program role involving a ~20 hour AI safety research project focused on pragmatic interpretability or applied safety, with a detailed write-up of findings.

Senior consultant role defining Responsible AI governance, risk classification, compliance controls, and AI security/red-teaming guardrails across the AI lifecycle.

Senior government affairs role leading Senate-focused AI governance and policy strategy, including legislative advocacy on AGI preparedness and frontier AI safety.

Research role on OpenAI’s Preparedness team focused on frontier AI safety mitigations, evaluations, red-teaming, and alignment/interpretability methods to make deployed models safer.

IT Security role focused on AI governance, assessing AI products and use cases against regulations, internal requirements, and AI risk/compliance frameworks.

Associate role on Faculty’s AI Safety team supporting delivery of frontier model evaluations, AI safety red teaming, and related client projects for government and industry.

Senior privacy engineering role at Anthropic focused on building privacy-preserving systems for AI training and inference, translating AI/privacy regulations into technical controls, and conducting privacy reviews and threat modeling for new models and features.

Research Scientist focused on interpretability and techniques for understanding and steering large AI models, with explicit connection to making models safer and supporting safe model development.