AI Safety Evaluator: Risk & Alignment Expert

Mercor

Helsinki

On-site

EUR 70,000 - 110,000

Full time

14 days+

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Job summary

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

You will review content across misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains, applying and refining evaluation rubrics for RLHF and AI safety benchmarking.

Qualifications

  • Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or a related discipline.
  • 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

Excellent written English
Critical thinking
Analytical reasoning

Education

Bachelor's degree or higher in related discipline

Job description

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

You will review content across misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains, applying and refining evaluation rubrics for RLHF and AI safety benchmarking.

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