Remote AI Safety Evaluator (Contract)

mercor; Denmark; Remote; DKK 551,000 - 643,000; Full time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. The AI Safety Practitioner role is remote, contract-based, and focuses on evaluating AI outputs for safety, factual accuracy, and policy compliance across sensitive domains.

You will refine RLHF/SFT rubrics, identify unsafe outputs, and provide structured feedback to improve model alignment in collaboration with AI researchers and safety teams.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 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

Analytical reasoning

Critical thinking

Written English

Education

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

Job description

Mercor connects elite creative and technical talent with leading AI research labs. The AI Safety Practitioner role is remote, contract-based, and focuses on evaluating AI outputs for safety, factual accuracy, and policy compliance across sensitive domains.

You will refine RLHF/SFT rubrics, identify unsafe outputs, and provide structured feedback to improve model alignment in collaboration with AI researchers and safety teams.