Frontier AI Safety Evaluator

Mercor; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Job summary

Mercor seeks experienced AI Safety Practitioners to evaluate frontier AI models across complex, policy-sensitive topics. You will assess AI-generated responses for safety, factual accuracy, and alignment, and contribute to improving model behavior through structured evaluations.

You will define and apply evaluation rubrics for RLHF and SFT, identify unsafe outputs, and provide actionable feedback. The role collaborates with AI researchers and safety teams on ongoing evaluation programs and

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.

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 related discipline

Job description

Mercor seeks experienced AI Safety Practitioners to evaluate frontier AI models across complex, policy-sensitive topics. You will assess AI-generated responses for safety, factual accuracy, and alignment, and contribute to improving model behavior through structured evaluations.

You will define and apply evaluation rubrics for RLHF and SFT, identify unsafe outputs, and provide actionable feedback. The role collaborates with AI researchers and safety teams on ongoing evaluation programs and