Senior AI Safety Evaluator for Frontier Models

Mercor; Wien; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Mercor is seeking an experienced AI Safety Practitioner to evaluate frontier AI models for safety, quality, and alignment across complex topics. You will assess AI-generated responses, apply safety policies, and contribute to improving model behavior through structured evaluations and feedback.

Responsibilities include evaluating outputs, reviewing sensitive content, and developing evaluation rubrics for RLHF/SFT while collaborating with AI researchers and safety teams.

Qualifikationen

• Bachelor's degree or higher in one of the listed disciplines.
• 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.

Aufgaben

• 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.

Kenntnisse

Excellent writing

Critical thinking

Analytical reasoning

Ausbildung

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

Jobbeschreibung

Mercor is seeking an experienced AI Safety Practitioner to evaluate frontier AI models for safety, quality, and alignment across complex topics. You will assess AI-generated responses, apply safety policies, and contribute to improving model behavior through structured evaluations and feedback.

Responsibilities include evaluating outputs, reviewing sensitive content, and developing evaluation rubrics for RLHF/SFT while collaborating with AI researchers and safety teams.