Advanced AI Safety Evaluator: Frontier Model Alignment

Mercor; Zürich; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

Mercor in Zürich, Switzerland, seeks AI Safety Practitioners to evaluate safety, quality, and alignment of frontier AI models on complex, policy-sensitive topics. You will assess AI outputs and help improve model behaviour through structured evaluations.

Responsibilities include evaluating responses for safety and factual accuracy; applying RLHF/SFT rubrics; and collaborating with AI researchers to advance safety benchmarks.

Qualifikationen

• 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.

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 written English

Critical thinking

Analytical reasoning

Policy evaluation

Ausbildung

Bachelor's degree or higher

Jobbeschreibung

Mercor in Zürich, Switzerland, seeks AI Safety Practitioners to evaluate safety, quality, and alignment of frontier AI models on complex, policy-sensitive topics. You will assess AI outputs and help improve model behaviour through structured evaluations.

Responsibilities include evaluating responses for safety and factual accuracy; applying RLHF/SFT rubrics; and collaborating with AI researchers to advance safety benchmarks.