Frontier AI Safety Evaluator & Model Quality Lead

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

Job summary

Mercor seeks experienced AI Safety Practitioners to evaluate safety, quality, and alignment of frontier AI models across complex topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations.

You will collaborate with researchers and safety teams, review content involving misinformation and high-risk domains, and contribute to RLHF/SFT evaluation rubrics to strengthen safety benchmarks.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 5+ years of professional experience in AI Safety or related field.
• Excellent written English, critical thinking, 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

Analytical reasoning

Critical thinking

Written English

Education

Bachelor's degree or higher in a relevant field

Job description

Mercor seeks experienced AI Safety Practitioners to evaluate safety, quality, and alignment of frontier AI models across complex topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations.

You will collaborate with researchers and safety teams, review content involving misinformation and high-risk domains, and contribute to RLHF/SFT evaluation rubrics to strengthen safety benchmarks.