AI Safety Practitioner for Model Evaluation

Help strengthen the safety, quality, and alignment of frontier AI models by evaluating their responses across complex, policy-sensitive, and ambiguous topics. This role focuses on structured assessment and feedback that improves model behavior in high-impact real-world domains. Key Responsibilities

• Evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality.
• Review material involving misinformation, political persuasion, self-harm, violence, cyber topics, biosecurity, and other sensitive areas.
• 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.

• Bachelor''s degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or a related discipline.
• At least 5 years of professional experience in AI safety, trust and 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.

• Experience with AI safety, RLHF, SFT, trust and safety, or AI evaluation.
• Familiarity with safety policies, content moderation, or evaluation-rubric development.
• Experience reviewing complex, high-risk, or ambiguous content.

• Remote hourly engagement.

• 60 to 70 per hour.

• Shape the safety and behavior of frontier AI models used by millions of people worldwide.
• Work on challenging safety evaluations across nuanced, high-impact domains.
• Collaborate with AI researchers, engineers, and safety teams.