Curated roles
Browse roles focused on reducing risks from advanced AI systems, including alignment research, safety engineering, evaluations and related operations.
343 active roles found.
Technical Program Manager for OpenAI's Safety Systems team, coordinating safety infrastructure, risk tracking, and deployment mitigations for ChatGPT, API, and new models.
Technical lead role focused on AI safety research, alignment, and safety evaluations for frontier model training and product launches.
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.
The role involves designing and building privacy-preserving safety systems for AI models, focusing on harm detection and mitigation while ensuring user privacy.
Research role focused on oversight of frontier AI models, including misuse and misalignment mitigation, AI monitor models, red-teaming pipelines, and safety/alignment robustness research.
Research role focused on making AI systems safer, more aligned, and robust against adversarial attacks, including safety methods, model safety evaluation, and mitigation strategies.
The role involves developing safety evaluations and architectures for AI models to ensure safe deployment and reduce risks during pre-training.
Senior researcher role on OpenAI’s Safety Systems team focused on misalignment research, adversarial evaluations, red-teaming, and stress testing to reduce AGI 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.
Frontier AI researcher leading automated red teaming to find model weaknesses, generate attacks, and turn findings into evaluations and robustness improvements.
Senior research role at OpenAI focused on alignment training for frontier models, including synthetic data, training interventions, and evaluation loops to shape robust, honest, and reliable model behavior.
Alignment science researcher focused on AI safety experiments, model evaluations, and interventions to improve honesty, compliance, and failure-mode detection in frontier models.
Research role on OpenAI’s Alignment Oversight team focused on improving oversight, evaluations, red-teaming, and control mechanisms for frontier AI models.
Frontier AI researcher focused on alignment, safety evaluations, model robustness, and human oversight of AI systems.
Research role on OpenAI's Consumer Devices team focused on RLHF, reward modeling, and evaluation frameworks for personalized multimodal AI systems, with explicit collaboration with safety researchers and emphasis on alignment, trust, and long-term user benefit.