Remote AI Safety Evaluator & Expert Reviewer

mercor

France

Remote

EUR 74,000 - 86,000

Part time

5 days ago
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Job summary

Mercor is seeking an AI Safety Practitioner for a remote contract role. You will evaluate AI-generated responses for safety, accuracy, and policy compliance, reviewing content across misinformation, political persuasion, self-harm, and other sensitive domains.

The role involves refining evaluation rubrics for RLHF and SFT, identifying unsafe outputs, and providing actionable feedback to researchers and safety teams. Strong English and analysis are essential for success.

Qualifications

  • Bachelor’s degree or higher in a related discipline.
  • 5+ years of experience in AI safety or related fields.
  • Excellent written English and strong analytical reasoning.
  • Ability to evaluate nuanced and policy-sensitive scenarios.
  • Familiarity with safety policies, content moderation, or evaluation rubric development.

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

Excellent written English
Critical thinking
Analytical reasoning

Education

Bachelor’s degree or higher

Tools

RLHF
SFT
AI safety benchmarking

Job description

Mercor is seeking an AI Safety Practitioner for a remote contract role. You will evaluate AI-generated responses for safety, accuracy, and policy compliance, reviewing content across misinformation, political persuasion, self-harm, and other sensitive domains.

The role involves refining evaluation rubrics for RLHF and SFT, identifying unsafe outputs, and providing actionable feedback to researchers and safety teams. Strong English and analysis are essential for success.

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