Frontier AI Safety Evaluator & Policy Expert

Mercor; San Francisco (CA); Remote; USD 120,000 - 160,000; Full time

Job summary

Mercor is seeking experienced AI Safety Practitioners to evaluate frontier AI models across complex, policy-sensitive topics, ensuring safety, quality, and alignment. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback, collaborating with product teams and researchers.

Responsibilities include refining RLHF/SFT rubrics, identifying unsafe outputs, hallucinations, and policy violations; providing actionable

Qualifications

• Bachelor's degree or higher in 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.

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.

Skills

Excellent written English

Critical thinking

Analytical reasoning

Education

Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or a related discipline

Job description

Mercor is seeking experienced AI Safety Practitioners to evaluate frontier AI models across complex, policy-sensitive topics, ensuring safety, quality, and alignment. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback, collaborating with product teams and researchers.

Responsibilities include refining RLHF/SFT rubrics, identifying unsafe outputs, hallucinations, and policy violations; providing actionable