Frontier AI Safety Evaluator

Mercor; Northern (KY); Hybrid; USD 90.000 - 150.000; Vollzeit

Zusammenfassung

DigiNo is seeking experienced AI Safety Practitioners to evaluate frontier AI models for safety, quality, and alignment on complex, policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and provide structured feedback to improve model behavior.

You will collaborate with AI researchers and safety teams on RLHF, SFT, and AI safety benchmarking, review high-risk content, and help refine evaluation rubrics. This role offers impact across safety domains.

Qualifikationen

• Bachelor's degree or higher in a related field.
• 5+ years of professional experience in AI Safety, Trust & Safety, journalism, public policy, science, or security.
• Excellent written English, critical thinking, and analytical reasoning skills.
• Ability to evaluate nuanced, policy-sensitive scenarios consistently.

Aufgaben

• Evaluate AI-generated responses for safety, factual accuracy, policy compliance, and 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.

Kenntnisse

Critical thinking

Analytical reasoning

Written English

Policy sensitivity evaluation

Nuanced scenario analysis

Evaluation feedback

5+ years experience

Ausbildung

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

Jobbeschreibung

DigiNo is seeking experienced AI Safety Practitioners to evaluate frontier AI models for safety, quality, and alignment on complex, policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and provide structured feedback to improve model behavior.

You will collaborate with AI researchers and safety teams on RLHF, SFT, and AI safety benchmarking, review high-risk content, and help refine evaluation rubrics. This role offers impact across safety domains.