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 role focused on frontier AI risk, including risk identification, security assessments of language models and autonomous agents, and security alignment methods.
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.
Teaching Assistant role supporting a bootcamp focused on AI safety skills, evaluating participant progress, and providing guidance on AI safety career opportunities.
Leads an AIxBio Research Fellowship at an AI safety nonprofit, overseeing program strategy, mentor relationships, team leadership, and outcome evaluation.
Research program associate role supporting AI safety fellows and improving fellowship program systems, evaluation frameworks, and programming for an AI safety nonprofit.
Research manager role supporting AI safety research fellows through coaching, feedback, curriculum design, speaker events, and research rigor support.
Research program manager supporting fellows doing AI x biosecurity research through mentoring, feedback, candidate review, and program coordination.
The role involves establishing risk identification and governance systems for large model security algorithms, developing security capabilities, and researching long-term risks from model improvements.
Faculty role leading an independent research program and teaching/mentoring students, with explicit ability to focus on AI safety research and a college focus that includes AI security 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.
Research scientist role focused on post-training methods, interpretability, and evaluations to improve frontier AI model safety, robustness, 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 Research Engineer will develop open-source verification tools and infrastructure for AI-assisted formal verification to ensure bug-free code.
A 5-day London incubator for people building AI safety projects and organizations, with funding for selected teams.
3-6 month fellowship working on an AI safety research project at Constellation's office workspace in the San Francisco Bay Area.
Lead LawZero's Evaluations Team to assess AI capability and safety claims through benchmarks, datasets, adversarial robustness testing, and red-teaming programs.
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.
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.