Remote AI Safety Evaluation Specialist (Contract)

mercor; Finland; Remote; EUR 74,000 - 86,000; Full time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role as an AI Safety Practitioner focuses on evaluating AI outputs for safety, bias, and policy compliance, and providing actionable feedback to improve alignment.

You will review high-risk content, refine evaluation rubrics for RLHF and SFT, and collaborate with AI researchers to advance safety benchmarking in a distributed team.

Qualifications

• Bachelor's degree or higher in relevant discipline.
• 5+ years in AI Safety, Trust & Safety, journalism, public policy, scientific research, security 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, accuracy, policy compliance, and 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

AI Safety

Content Moderation

RLHF

SFT

Trust & Safety

Analytical Reasoning

Critical Thinking

Research Collaboration

Education

Bachelor's degree or higher in related field

Tools

Evaluation rubrics

RLHF rubrics

SFT evaluation tools

Job description

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role as an AI Safety Practitioner focuses on evaluating AI outputs for safety, bias, and policy compliance, and providing actionable feedback to improve alignment.

You will review high-risk content, refine evaluation rubrics for RLHF and SFT, and collaborate with AI researchers to advance safety benchmarking in a distributed team.