What you would do

Write synthetic patient cases, such as chest pain with an unusual presentation, and grade whether a model’s reasoning misses a red flag.
Check model answers against current clinical guidelines and explain what is wrong and why it matters for the patient.
Review medication answers for doses, interactions and contraindications.
Review coding, billing and records tasks for accuracy, such as matching ICD-10 and CPT codes to a synthetic note.
Write rubrics that rank answers on safety first, then accuracy and completeness.

All cases are synthetic. Never include real patient information.

What we look for

You are in or have finished clinical or health training (for example a medical, nursing, PA or pharmacy program), or you hold a health coding or operations certification.
Hands-on clinical, research or health operations work you can describe in detail.
You know where to check current guidance and can explain why it applies to a case.
Care with patient safety and with what a case does and does not show.

A clinical degree or license (for example MD, DO, NP, PA, RN or PharmD); a specialty board or a research degree is even better.
Clinical practice, teaching or chart review, or health AI work, especially at an AI lab or AI company.
Experience teaching students or residents, or reviewing care for quality and safety.
Publications or guideline, quality or safety work.

Task size: Tasks take about 30 minutes to 5 hours. Each one shows its estimated time and price before you start, and you are paid that price even if it takes you more or less time.
Pay: Per task accepted in review: its estimated time times the project’s rate. A task estimated at 2 hours at $160 an hour pays $320. Accepted tasks are paid within 30 days.
Hours: Projects last 1 month to a year. Each sets a weekly minimum, usually about 20 hours of estimated work, and you choose when you work.
Tools and review: Your own computer, plus the guidelines and references you already use in practice. Every task is reviewed against the project’s written quality standard before it is accepted.