Frontier AI Safety Evaluator & Model Quality Lead

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

Job summary

Mercor is seeking experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.

In this role you will review content on misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains while collaborating with AI researchers and safety teams

Qualifications

• Bachelor's degree or higher in journalism, communications, psychology, public policy, law, biology, chemistry, computer science, or a related field.
• 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, 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.

Job description

Mercor is seeking experienced AI Safety Practitioners to evaluate the safety, quality, and alignment of frontier AI models across policy-sensitive topics. You will assess AI-generated responses, apply safety policies, and help improve model behavior through structured evaluations and feedback.

In this role you will review content on misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains while collaborating with AI researchers and safety teams