AI Safety Evaluator & Model Alignment Specialist

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

Job summary

Mercor seeks experienced AI Safety Practitioners to evaluate frontier model safety, quality, and alignment on complex topics. You will assess AI-generated responses, apply safety policies, and contribute structured feedback to improve model behavior.

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

Qualifications

• Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry or CS.
• 5+ years of professional experience in AI Safety, Trust & Safety, journalism, public policy, scientific research, security, or 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

Written English

Critical Thinking

Analytical Reasoning

Policy Understanding

Education

Journalism

Communications

Psychology

Sociology

Public Policy

Law

Biology

Chemistry

Computer Science

Job description

Mercor seeks experienced AI Safety Practitioners to evaluate frontier model safety, quality, and alignment on complex topics. You will assess AI-generated responses, apply safety policies, and contribute structured feedback to improve model behavior.

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