Frontier AI Safety Evaluator & Alignment Expert

Mercor

Dublin

On-site

EUR 80,000 - 120,000

Full time

14 days+

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Job summary

Mercor seeks experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across complex, policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.

The role emphasizes evaluating nuanced, high-stakes content and collaborating with AI researchers to advance safety benchmarking and alignment across teams.

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

Critical thinking
Analytical reasoning
Written English

Education

Bachelors degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or related discipline

Job description

Mercor seeks experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across complex, policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.

The role emphasizes evaluating nuanced, high-stakes content and collaborating with AI researchers to advance safety benchmarking and alignment across teams.

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