About this role
Role Overview
Assess the safety, alignment, and overall quality of frontier AI model outputs on complex, policy sensitive, and ambiguous "grey area" topics. Work through structured evaluations to identify unsafe behavior, reasoning failures, hallucinations, and policy violations, and provide clear, actionable feedback that improves model behavior.
Key Responsibilities- Evaluate AI generated responses for safety, factual accuracy, policy compliance, and overall quality.
- Review content that involves misinformation, political persuasion, self harm, violence, cyber security, biosecurity, and other sensitive domains.
- Apply and help refine evaluation rubrics used for RLHF, SFT, and AI safety benchmarking.
- Identify unsafe outputs, hallucinations, reasoning failures, and violations of safety policies.
- Provide structured feedback to improve model alignment and safety performance.
- Collaborate with AI researchers and safety teams on ongoing evaluation initiatives.
Required
- 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 and Safety, journalism, public policy, scientific research, security, or a related field.
- Excellent written English, strong critical thinking, and analytical reasoning skills.
- Ability to consistently evaluate nuanced and policy sensitive scenarios.
Preferred
- Direct experience with AI safety work, 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.
- Location: Remote.
- Employment type: hourly.
- 60 - 70 hourly.