Physician (MD/DO) - Medical AI Evaluation

About the company

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based.

Paid per approved task, at about $100 per hour equivalent. A flat rate is paid for every approved task.

Built to fit around a clinical practice:

• Tasks are estimated at about 10–20 hours per week while the project is active. You choose when and how much to contribute.
• Contribute anytime, from anywhere.
• No patient contact or malpractice exposure: you review written clinical cases.
• All reviewers are license-verified physicians.
• A one-time $50 onboarding reward is paid once your first production task is approved.

What this opportunity involves

We’re looking for actively practicing, U.S.-licensed physicians (MD/DO) living outside the U.S., with an active, unrestricted U.S. medical license, to evaluate clinical EHR vignettes for a medical AI evaluation project. General and internal medicine are the main focus. On this project, contributors may:

• Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems.
• Score the clinical reasoning quality of benchmark items, including vignette accuracy and completeness, whether the vignette gives away the answer, answer correctness and gradeability, and trap quality.
• Check whether the reasoning chain reaches the answer from vignette facts alone, assess reasoning traces, and write short rationales.
• Work within three independent blind reads, followed by physician adjudication. This work involves real clinical complexity and helps improve AI tools you may eventually use yourself.

If you’re a practicing physician ready to take on this challenging and engaging project, apply to take part.

What we look for

This opportunity is a good fit for U.S.-licensed physicians living outside the U.S. who are looking for a flexible, time-limited project they can fit around clinical practice. Ideally, contributors will have:

• A medical degree (MD or DO) and an active, unrestricted U.S. medical license, verified at onboarding and rechecked monthly.
• Board certification or completed residency training, with recent direct patient care experience; attending-level experience is preferred.
• Broad, multisystem diagnostic and treatment experience in internal, family, emergency, or hospital medicine.
• Strong clinical reasoning skills, including differential diagnosis, next-step management, and application of evidence-based guidelines.
• Prior experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/quality assurance is a plus.
• Strong written English (C1+).

This opportunity is not suitable for medical students, unlicensed medical graduates, nonphysician clinicians (NPs, PAs, nurses, or pharmacists), or people in nonclinical healthcare roles.

How it works

Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid

How to apply

Please submit your CV in English and indicate your level of English proficiency.

Project time expectations

You decide when and how much to contribute. For this project, tasks are estimated at around 10–20 hours per week during active phases. This is an estimate, not a minimum or a guaranteed workload, and applies only while the project is active. Tasks must be submitted within the project timeline and meet the listed acceptance criteria to be approved.

Earnings

Earnings are paid per approved task at a flat rate set to about $100 per hour equivalent, based on estimated task time. There are no tiers or speed adjustments to the base rate. Quality assurance and adjudication tasks are paid at a higher rate.

A one-time $50 onboarding reward is paid once your first production task is approved.

Incentives include additional earnings for high-quality approved tasks. Terms are shared in the project guidelines.