Role brief
Job description
We are seeking experienced **AI Safety Practitioners** to evaluate the safety, quality, and alignment of frontier AI models across complex, policy-sensitive, and ambiguous ("grey-area") topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.
## Responsibilities
– Evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality.
– Review content involving misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains.
– Apply and refine evaluation rubrics for RLHF, SFT, and AI safety benchmarking.
– Identify unsafe outputs, hallucinations, reasoning failures, and policy violations.
– Provide structured feedback to improve model alignment and safety performance.
– Collaborate with AI researchers and safety teams on ongoing evaluation initiatives.
## Required Qualifications
– Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or a related discipline.
– 5+ years of professional experience in AI Safety, Trust & Safety, journalism, public policy, scientific research, security, or a related field.
– Excellent written English, critical thinking, and analytical reasoning skills.
– Ability to consistently evaluate nuanced and policy-sensitive scenarios.
## Preferred Qualifications
– Experience with AI Safety, RLHF, SFT, Trust & Safety, or AI evaluation.
– Familiarity with safety policies, content moderation, or evaluation rubric development.
– Experience reviewing complex, high-risk, or ambiguous content.
## Why Join?
– Shape the safety and behaviour of frontier AI models used by millions worldwide.
– Work on challenging, real-world safety evaluations across nuanced and high-impact domains.
– Collaborate with leading AI researchers, engineers, and safety teams.