Curated AI safety and governance jobs

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.

Staff+ SRE role on Anthropic's Safeguards ML Infra team, responsible for production infrastructure, deployment, and validation of safety systems and safety classifiers for Claude model launches.

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

Contract agent roles at the EU AI Office spanning technical, policy, legal, and operational work on AI legislation, model risk assessment, and enforcement of the EU AI Act for frontier AI safety.

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.

Internship focused on ML research engineering for LLM and agent evaluation, red-teaming, guardrails, and model safety/robustness tooling.

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.

Operations and program lead for Harvard-MIT AI Safety Workshops and related AI safety community events, supporting AI safety career development and workshop programming rather than doing research directly.

Senior fellowship placed at Cal OES to advise on state-level AI policy and governance, including AI safety, transparency, catastrophic risk management, and frontier/generative AI risk assessment.

One-year senior fellowship placed at the California Department of Technology to advise on AI policy and governance, with explicit focus on frontier AI safety, risk management, transparency, and California AI safety legislation.

Research Scientist role focused on AI safety research, model behavior studies, interpretability, and building reproducible tooling for safe AI deployment.

Policy and operations role at an AI policy organisation, with responsibilities in policy research, analysis, communications, and organisational operations.

Contract researcher mapping frontier AI and adjacent technology supply chains and producing strategic proposals for government and industry stakeholders; relevant because the role explicitly includes AI governance, compute infrastructure, and frontier AI policy-adjacent analysis.