Physician Reviewer (MD/DO) - Medical AI Evaluation

Mindrift

Phoenix (AZ)

On-site

USD 55,000 - 138,000

Full time

5 days ago
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Job summary

Mindrift is seeking US-based physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program focused on general and internal medicine. You will assess vignette questions, proposed answers, and distractors across multiple organ systems, scoring reasoning quality and justification.

Work involves up to 20 hours per week on a project-based schedule, with compensation per accepted task, and rates up to $100 per hour depending on qualification tier and efficiency."

Qualifications

  • MD or DO with active, unrestricted US medical license.
  • Board certification or completed residency with recent direct patient care (attending-level preferred).
  • Broad, multi-system diagnostic and treatment experience.
  • Strong clinical reasoning and application of evidence-based guidelines.
  • Prior experience in medical AI evaluation or medical annotation is a plus.
  • Strong written English (C1+).

Responsibilities

  • Evaluate clinical EHR vignettes paired with questions, proposed answers, and distractors across multiple body systems.
  • Score clinical reasoning quality of benchmark items including vignette accuracy, completeness, and trap quality.
  • Assess whether reasoning traces reach the answer from vignette facts and write short rationales.
  • Participate in three blind reads followed by physician adjudication; contribute to improving AI tools.

Skills

Clinical reasoning
AI evaluation experience
Written English
Attention to detail

Education

MD/DO
US medical license (active, unrestricted)

Job description

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.

  • 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
  • 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 $100/hr.

Because payment is per approved task, a faster pace raises your effective hourly rate.

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