AI Safety Evaluation Specialist (Remote)

mercor

Netherlands

Remote

EUR 74,000 - 86,000

Full time

14 days+
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Job summary

Mercor connects elite talent with AI research labs for remote collaboration. The AI Safety Practitioner role evaluates AI responses for safety, accuracy, and policy compliance across sensitive domains.

You will apply and refine rubrics for RLHF, SFT, and AI safety benchmarking, identify unsafe outputs, and provide structured feedback to improve model alignment. Collaboration with researchers and safety teams is essential.

Qualifications

  • Bachelor's degree or higher in a related discipline.
  • 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

Excellent written English
Critical thinking
Analytical reasoning
Policy evaluation
Structured feedback

Education

Bachelor's degree or higher

Job description

Mercor connects elite talent with AI research labs for remote collaboration. The AI Safety Practitioner role evaluates AI responses for safety, accuracy, and policy compliance across sensitive domains.

You will apply and refine rubrics for RLHF, SFT, and AI safety benchmarking, identify unsafe outputs, and provide structured feedback to improve model alignment. Collaboration with researchers and safety teams is essential.

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