AI Safety Evaluator - RLHF/SFT, Remote Contract

mercor

Norway

À distance

NOK 790 000 - 922 000

Plein temps

14 jours+

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Résumé du poste

Mercor, a leader in connecting elite AI talent, is seeking an AI Safety Practitioner for a remote contract role. You will evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality across diverse domains, including misinformation and sensitive topics.

You will apply and refine evaluation rubrics for RLHF, SFT, and AI safety benchmarking, identify unsafe outputs and policy violations, and provide structured feedback to AI researchers.

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.

Responsabilités

  • 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.

Connaissances

Critical thinking
Analytical reasoning
Excellent written English

Formation

Bachelor's degree or higher

Outils

RLHF
SFT
AI evaluation

Description du poste

Mercor, a leader in connecting elite AI talent, is seeking an AI Safety Practitioner for a remote contract role. You will evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality across diverse domains, including misinformation and sensitive topics.

You will apply and refine evaluation rubrics for RLHF, SFT, and AI safety benchmarking, identify unsafe outputs and policy violations, and provide structured feedback to AI researchers.

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