AI Safety Practitioner - Expert Evaluator
Pubblicato il 05-10-2026 - Mercor in Roma
We are seeking experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across complex, policy-sensitive, and ambiguous ("grey-area") topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.
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Responsibilities
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- 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.
Required Qualifications
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- 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.
Preferred Qualifications
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- Experience with AI Safety, RLHF, SFT, Trust & Safety, or AI evaluation.
- Familiarity with safety policies, content moderation, or evaluation rubric development.
- Experience reviewing complex, high-risk, or ambiguous content.
Why Join?
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- Shape the safety and behaviour of frontier AI models used by millions worldwide.
- Work on challenging, real-world safety evaluations across nuanced and high-impact domains. xysqume
- Collaborate with leading AI researchers, engineers, and safety teams.
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