Family Medicine Physician (MD), Clinical AI Review

You will review clinical content and medical records used to train AI systems. Your work will focus on accuracy, safety, completeness, appropriate reasoning, and standards of care across acute, chronic, and preventive care.

You will use primary care judgment to validate and improve medical datasets, resolve unclear documentation, and give useful feedback on difficult cases and workflow guidance.

• Assess AI-generated clinical content for accuracy, safety, completeness, and appropriate reasoning.
• Review care scenarios involving pediatric, adult, and geriatric patients.
• Apply evidence-based guidelines and standards of care to medical data.
• Clarify documentation requirements and resolve ambiguous cases.
• Provide detailed feedback on guidelines, edge cases, and workflow improvements.

This is a part-time contractor opportunity open to candidates in the United States. Prior AI experience is not required, but the role requires substantial clinical knowledge and sound judgment in primary care or family medicine.

• Pay: $100 to $120 per hour.
• Location: Open to candidates in the United States.
• Requirement: An active MD degree and United States medical licensure.
• Experience: Hands-on clinical experience in primary care or family medicine settings.
• Knowledge: Common acute and chronic conditions, preventive care, and care for multiple patient age groups.
• Skills: Evidence-based clinical judgment, careful attention to detail, and clear written and verbal communication.
• Preferred: Board certification in Family Medicine.
• Helpful: Clinical annotation, medical record review, or similar clinical quality 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.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 3 screening questions.

AI training work uses human review to help artificial intelligence learn from accurate examples and produce safer, more useful results. Medical experts are needed to assess clinical content because their knowledge helps identify errors, missing information, and unsafe recommendations.