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Mercor is seeking an experienced AI Safety Practitioner to evaluate frontier AI models for safety, quality, and alignment across complex topics. You will assess AI-generated responses, apply safety policies, and contribute to improving model behavior through structured evaluations and feedback.
Responsibilities include evaluating outputs, reviewing sensitive content, and developing evaluation rubrics for RLHF/SFT while collaborating with AI researchers and safety teams.
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.
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.
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.
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.
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.