Family Medicine Physician (MD) AI Reviewer

You will review medical data and AI-generated clinical content using your family medicine and primary care judgment. The work covers acute, chronic, and preventive care across pediatric, adult, and geriatric patients.

You will use evidence-based guidelines and standards of care to assess clinical material, improve datasets, identify unclear cases, and explain review decisions.

• Evaluate AI-generated clinical outputs for accuracy, safety, clinical appropriateness, and completeness.
• Review clinical documentation and medical data across different care settings and patient populations.
• Validate and enrich clinical datasets using evidence-based guidelines and standards of care.
• Identify ambiguities, assess edge cases, and provide feedback on review decisions and workflow guidance.
• Communicate clearly in writing and conversation about clinical content.

This is a part-time contractor role for a physician with broad primary care knowledge and strong attention to detail. Previous AI experience is not required.

• Pay: $100 to $120 per hour.
• Location: Open to candidates in the United States.
• Language: Fluent in English.
• Required: Active MD degree and current United States medical licensure.
• Required: Hands-on primary care or family medicine experience in a clinic, community practice, or health system.
• Required: Knowledge of common acute and chronic conditions, preventive care, and multiple patient age groups.
• Required: Ability to assess medical documentation for clinical soundness, accuracy, safety, and completeness.
• Preferred: Board certification in Family Medicine.
• Helpful: Clinical annotation, medical record review, or related dataset review experience.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

AI training is the human work behind systems that learn from examples, including reviewing documents and rating model responses. Medical reviewers are paid for their expertise because their judgment helps assess whether AI-generated clinical content is accurate, safe, and complete.

OpenTrain is where people find AI training and data-labeling projects, build a profile, and apply in minutes. Creating an OpenTrain account is free.