Frontier AI Safety & Evaluation Expert

Mercor; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Mercor is seeking experienced AI Safety Practitioners to evaluate frontier AI models across complex and policy-sensitive topics. You will assess AI outputs for safety, quality, and alignment, and contribute to improving model behavior through structured evaluations and feedback.

Responsibilities include applying safety policies, refining rubrics for RLHF/SFT, identifying unsafe outputs, and collaborating with researchers to advance safety benchmarks.

Qualifications

• Bachelor’s degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or 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.

Responsibilities

• 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.

Skills

Excellent written English

Critical thinking

Analytical reasoning

5+ years of AI Safety experience

Education

Bachelor’s degree or higher in a related field

Job description

Mercor is seeking experienced AI Safety Practitioners to evaluate frontier AI models across complex and policy-sensitive topics. You will assess AI outputs for safety, quality, and alignment, and contribute to improving model behavior through structured evaluations and feedback.

Responsibilities include applying safety policies, refining rubrics for RLHF/SFT, identifying unsafe outputs, and collaborating with researchers to advance safety benchmarks.