About this opportunity
Confidential lists this AI Safety Practitioner for Model Evaluation opportunity in Sterling, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
Qualifications 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.
Preferred Qualifications 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.
Work Terms Remote hourly engagement.
Compensation 60 to 70 per hour.
What You Will Contribute 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.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.