Curated roles
Browse roles focused on reducing risks from advanced AI systems, including alignment research, safety engineering, evaluations and related operations.
357 active roles found.
Research manager role leading an AIxCyber research fellowship, overseeing fellows and projects focused on mitigating risks from frontier AI.
Machine Learning Researcher focused on AI safety research, stress-testing advanced models, and informing safety evaluations for frontier AI systems.
The role involves building internal products and automations to enhance the operations of the AI Security Institute, focusing on AI safety and efficiency.
Technical role focused on security architecture, threat modeling, and red-teaming for frontier AI infrastructure, with some standards work involving labs and government stakeholders.
The Fellowship Manager will design and execute a fellowship program for AI safety researchers in Berlin, managing applications and operational responsibilities.
The role is a theoretical AI safety research position at LawZero focused on safe-by-design AI systems, formal safety guarantees, and analysis of frontier model risks.
Technical safety role focused on red-teaming, adversarial evaluations, safety benchmarks, and release gating for Reflection’s models.
Backend software engineer building evals infrastructure and continuous monitoring for OpenAI support automation, with direct relevance to model evaluation work.
The Research Engineer role focuses on advancing reinforcement learning techniques to enhance the safety and capabilities of AI systems, collaborating with teams to ensure effective and safe model development.
The Engineering Manager for Research Tools at Anthropic will lead a team focused on building systems that enhance the productivity of researchers and ensure the safe and efficient development of AI systems.
Technical Program Manager for OpenAI's Safety Systems team, coordinating safety infrastructure, risk tracking, and deployment mitigations for ChatGPT, API, and new models.
Software engineer on OpenAI’s Safety Systems team building anti-abuse, content moderation, and safety infrastructure for AI models, including work on model alignment and risk reduction.
Security researcher focused on agentic AI threats, including AI agent evaluations, penetration testing, and protective measures for frontier AI systems.
Lead security preparedness for internal coding agents, focusing on threat modeling, defensive controls, and coordination with preparedness and research teams at a frontier AI lab.
Senior safety researcher role focused on frontier model oversight, misuse and misalignment mitigation, red-teaming, and safety research for deployed AI systems.
Senior researcher role on OpenAI’s Safety Systems team focused on AI safety research, RLHF, adversarial training, robustness, and evaluating/mitigating model safety risks.
Research role on OpenAI’s Interpretability team focused on mechanistic interpretability and understanding model internals to improve the safety of powerful AI systems.
The role involves advancing AI safety and improving healthcare outcomes by developing safe AI models, focusing on safety and alignment techniques.
Safety research role on OpenAI’s Preparedness team focused on mitigating frontier AI cybersecurity misuse through safeguards, monitoring, detection, enforcement, and red-teaming.
Safety research role on OpenAI’s Preparedness team focused on frontier AI threat mitigation, capability evaluations, red-teaming, and risk management for high-consequence biological, chemical, cyber, and other frontier-risk domains.