Full-stack engineering role building web applications and features for formal verification tools and AI safety infrastructure.
Curated roles
Browse remote-friendly roles across AI safety, governance, policy, evaluations, compliance and responsible AI teams.
164 active roles found.
Full-stack engineering role building web applications and features for formal verification tools and AI safety infrastructure.
The role focuses on detecting insider threats and safeguarding sensitive AI assets through security engineering, including developing detection rules and automating investigation workflows.
The role involves conducting AI alignment research and supporting client projects, focusing on increasing human agency in relation to AI capabilities.
The role involves leading AI alignment projects, ensuring strategic goals are met, and facilitating communication among stakeholders.
Senior technical role focused on assessing advanced AI system risks, threat modeling, and designing governance frameworks for catastrophic AI risk management.
Research role at the Governance of AI Lab focused on evaluating AI legal compliance, developing legal safety interventions, and studying governance of autonomous AI agents.
Volunteer role supporting AIGS Canada’s AI governance and advocacy work focused on safe development of advanced AI systems and responsible AI governance.
Technical lead role owning an AI security hardware workstream focused on hardware architectures for verifying and securing advanced AI systems, with ties to AI safety and compute governance.
A 16-week remote fellowship conducting peer-reviewed AI safety research in interpretability, governance, evaluation, and alignment.
Remote AI red team analyst role focused on adversarial testing of AI models, safety violations, bias, and policy compliance for frontier AI labs.
The role involves probing AI models for vulnerabilities, analyzing their behavior under attack scenarios, and investigating system misuse to recommend mitigations.
The Research Lead will develop and lead a research agenda focused on reducing catastrophic risks from advanced AI, mentoring a team and sharing findings through publications and policy briefings.
The Distributed Organizing Manager will build and support a nationwide volunteer program focused on grassroots action against the risks of unchecked AI.
The Research Engineer will develop open-source verification tools and infrastructure for AI-assisted formal verification to ensure bug-free code.
Research fellowship at CHAI focused on beneficial AI and human-compatible AI research, including alignment-relevant topics like reasoning, decision making, interpretability, reward learning, and adversarial attacks.
Remote mentor-led research fellowship on secure program synthesis, focusing on formal methods for AI systems, specification validation, and adversarial robustness to improve secure and reliable AI systems.
Senior red-team lead role focused on jailbreaking frontier AI models, finding high-severity vulnerabilities, and translating findings into mitigations for AI safety and security.
Technical project manager for FAR.AI's red-teaming programme, coordinating engagements with governments and frontier AI companies and supporting related technical, policy, and grant work.
Research fellowship program for AI safety and field-building work focused on reducing frontier AI risk, with tracks including policy & governance and systems security.
Machine Learning Researcher focused on AI safety research, stress-testing advanced models, and informing safety evaluations for frontier AI systems.