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.
The Research Engineer for Code RL will advance AI models' coding capabilities, ensuring safety and effectiveness through collaboration with alignment and red teams, focusing on responsible AI development.
Senior analyst role at OpenAI focused on assessing and mitigating agentic risks across products and platforms, using evaluations, red teaming, investigations, and cross-functional risk coordination.
Product manager for Anthropic’s Safeguards team, building safety systems, evals, and interventions to mitigate risks from frontier AI models and user misuse.
The role involves conducting research in AI safety and alignment, focusing on model evaluations and interpretability techniques, while collaborating with top researchers to address critical AI challenges.
People management and technical leadership role guiding ML research projects for LawZero’s AI safety agenda and safe-by-design AI systems.
The Digital Media Accelerator supports creators producing content that raises awareness about AI developments and issues, particularly regarding AI safety and risk.
Research engineer role focused on scalable interpretability assistants, evaluations for undesirable model behaviors, and AI oversight capabilities.
The Research Scientist role at Sequent focuses on AI alignment research, requiring contributions to both empirical and theoretical aspects of alignment problems.
Research engineer building infrastructure and automation for AI alignment research, including experiment orchestration, analysis pipelines, autoformalization tools, and evaluation infrastructure for frontier-tier models.
The Foresight Institute is offering grants for projects focused on AI safety, specifically in secure AI and neurotechnology for safe AI.
Analytics Engineer on OpenAI’s Safety Systems team building canonical datasets, dashboards, and data products for safety metrics and decision-making around safe, robust, reliable AI deployment.
Fellowship focused on adversarial red teaming and model evaluations for AI systems, identifying vulnerabilities, safety risks, and failure modes.
This fellowship focuses on advancing cryptographic verification mechanisms for AI training, addressing safety and verification standards in AI.
A 13-week part-time remote fellowship training and supporting Black researchers and practitioners in AI Safety, AI Security, AI Governance, and Responsible AI through mentorship and research projects.
The role involves maintaining facilities operations for a workspace focused on AI safety research, supporting logistics and vendor relationships.
Research Scientist role focused on frontier AI safety research and evaluations, specifically loss-of-control and harmful manipulation risks, evaluation awareness, sandbagging, and deception.
The Research Engineer role involves implementing and running safety evaluations on frontier AI models, focusing on loss-of-control and harmful manipulation risks.
Machine Learning Engineer building AI safety and security systems, including abuse detection, frontier model evaluations, and red teaming workflows.
The Research Scientist role involves leading research on risks in frontier AI models, designing evaluation methodologies, and authoring safety reports to advance AI safety.
The Research Engineer role involves implementing and running safety evaluations on frontier AI models, focusing on loss-of-control and harmful manipulation risks.