Physician Reviewer (MD/DO) - Medical AI Evaluation

Mindrift (Toloka); United States; À distance; USD 58 000 - 96 000; Temps partiel

Résumé du poste

Mindrift is seeking US-based physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. Projects are part-time and non-permanent, with compensation paid per accepted task.

Contributors will review vignette content across multiple medical domains, score reasoning quality, verify tracing accuracy, and provide concise rationales. The role emphasizes strong English writing and current US medical licensure.

Qualifications

• MD or DO with active US medical license.
• Board certification or recent residency with direct patient care.
• Broad, multi-system diagnostic and treatment experience.
• Strong clinical reasoning and guideline application.
• Experience in medical AI evaluation or annotation is a plus.
• Excellent written English (C1+).

Responsabilités

• Evaluate clinical EHR vignettes with questions and distractors across organ systems.
• Score the clinical reasoning quality and vignette accuracy.
• Check whether reasoning traces lead to the answer and write rationales.
• Work within three independent blind reads, followed by adjudication.

Connaissances

Medical license

Board certification

Clinical reasoning

English proficiency

Formation

MD or DO degree

Description du poste

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

What this opportunity involves

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. General and internal medicine are our main focus. While each project involves unique tasks, 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: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;
• Check whether the reasoning chain reaches the answer from vignette facts alone, correct reasoning traces, and write short rationales;
• Work within three independent blind reads, followed by physician adjudication. Real clinical complexity only. You're improving the AI tools you'll eventually use yourself.

What we look for

This opportunity is a good fit for US-based physicians open to part-time, non-permanent projects. Ideally, contributors will have:

• Medical degree (MD or DO) and an active, unrestricted US medical license (verified with the issuing medical board);
• Board certification or completed residency training, with recent direct patient care (attending-level preferred);
• Broad, multi-system diagnostic and treatment experience (internal, family, emergency, or hospital medicine);
• Strong clinical reasoning: 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/QA (a plus);
• Strong written English (C1+).

This opportunity is not fit to medical students, unlicensed medical graduates, non-physician clinicians (NPs, PAs, nurses, pharmacists), or non-clinical healthcare titles.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent of $70/hr. Because payment is per approved task, a faster pace raises your effective hourly rate.