AI Safety Practitioner - Expert Evaluator

Mercor; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Job summary

Mercor is seeking experienced AI Safety Practitioners to evaluate frontier model safety, quality, and alignment across policy-sensitive topics. You will assess AI-generated responses and help improve model behavior through structured evaluations and feedback.

Responsibilities include evaluating safety, reviewing misinformation and sensitive domains, applying RLHF/SFT rubrics, and collaborating with AI researchers to advance safety benchmarks. Excellent written English required.

Qualifications

• Bachelor's degree or higher in a related field.
• 5+ years of professional experience in AI Safety or a related field.
• Excellent written English and analytical reasoning.
• Ability to 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

Critical thinking

Analytical reasoning

Policy evaluation

English proficiency

Education

Bachelor's degree or higher in a related discipline

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.