Physician - Research Survey (ONET Occupation Study)

About this study

Mercor is building a new, more accurate version of ONET — the U.S. government's framework for describing occupations and the tasks they involve. We are gathering input directly from experienced practitioners to improve how the work of physicians is described.

What you'll do

• Complete a one-time online survey/interview about your day-to-day work as a physician. It takes up to 30 minutes.

• There may be an optional follow-up survey, task, or short interview afterward, which would be paid separately.

Pay

• Pay is set in proportion to the expected hourly wage for physicians (~$127.85/hour). The initial task is **~30 minutes**, so it pays roughly half an hour at that rate, with the potential for additional paid tasks later.

Who we're looking for

• 2+ years of experience working specifically as a physician (SOC 29-1229 — Physicians, All Other).

• U.S.-based.

• Currently employed as a physician, or employed in the role recently — we are not looking for people who left the profession many years ago.

• You must have actually held a physician role. Medical students or people with only general clinical exposure are not a fit unless they have genuinely worked as a physician.

Reference for the occupation: https://www.onetonline.org/link/summary/29-1229.00

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.