Frontier AI Safety Evaluator — Expert Alignment & Risk

Mercor; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Mercor is seeking experienced AI Safety Practitioners to evaluate frontier AI models for safety, quality, and alignment across complex, policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and provide structured feedback to improve model behavior.

Responsibilities include evaluating safety, reviewing high-risk content, refining evaluation rubrics for RLHF and SFT, and collaborating with researchers and safety teams on ongoing initiatives.

Qualifications

• Bachelor's degree or higher in relevant disciplines.
• 5+ years of professional experience in AI Safety or related fields.
• Excellent written English and analytical reasoning skills.
• Ability to consistently evaluate nuanced and policy-sensitive scenarios.

Responsibilities

• Evaluate AI-generated responses for safety, 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

AI Safety

Policy review

Critical thinking

Written English

Education

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

Job description

Mercor is seeking experienced AI Safety Practitioners to evaluate frontier AI models for safety, quality, and alignment across complex, policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and provide structured feedback to improve model behavior.

Responsibilities include evaluating safety, reviewing high-risk content, refining evaluation rubrics for RLHF and SFT, and collaborating with researchers and safety teams on ongoing initiatives.