This research feeds directly into improving how algorithms suggest diagnoses based on patient charts. Your medical expertise will help determine where AI models succeed and where they fall short in real-world clinical scenarios.

You will review a series of de-identified patient records through our remote platform. For each case, you will form your own clinical diagnosis based on the provided chart. Next, you will review diagnoses proposed by an AI model and state whether you agree or disagree with its conclusions. The project requires a commitment of at least five hours to complete the assigned reviews.

• Review de-identified patient charts and medical records.
• Generate your own clinical diagnosis for each assigned case.
• Evaluate AI-proposed diagnoses for accuracy and clinical relevance.
• Dedicate a minimum of five hours to complete the case reviews.

This opportunity is for active physicians who are comfortable reviewing general medical cases. We welcome licensed hospitalists, family medicine physicians, and general internal medicine practitioners. You should have strong experience in chart review and differential diagnosis generation.

• Active medical license in the US.
• Practicing hospitalist or family medicine physician.
• Strong background in generating differential diagnoses.
• Available to complete remote chart reviews between September 24 and 27.

Work arrangement: Fully remote

Eligible countries: United States

• For US Hospitalists and Family Physicians (18+).
• Know a US-licensed hospitalist or family medicine physician who can review patient records for at least 5 hours between Sep 24 and 27?
• Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
• We are unable to support H1-B or STEM OPT candidates at this time.

• Payments are processed weekly based on services rendered.