Physician, Medical AI Evaluation

This is a fully remote position, open to applicants in Kansas.

📋 Description

• Assess clinical EHR vignettes alongside questions, suggested answers, and distracting incorrect answers related to diagnosis and treatment tasks.

• Evaluate the quality of clinical reasoning, accuracy and completeness of vignettes, correctness and gradeability of answers, and quality of distractors.

• Determine if the reasoning pathways lead to answers based solely on vignette facts.

• Rectify reasoning pathways and compose brief rationales.

• Engage in three independent blind evaluations followed by physician adjudication.

• Fulfill project duties via the platform and submit them for approval.

⛳️ Requirements

• Medical degree (MD or DO) required.

• Active and unrestricted US medical license, verified during onboarding and re-verified monthly.

• Board certification or completion of residency training is necessary.

• Experience in direct patient care; attending-level experience is preferred.

• Extensive multi-system 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.

• Proficient written English (C1+ level).

• Previous experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/quality assurance is advantageous.

• This position is not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals with non-clinical healthcare titles.

🏝️ Benefits

• Compensation per approved task: a predetermined fixed rate for each task, established in advance.

• Completely self-scheduled: no minimum hours required and no fixed schedule.

• Opportunity for remote work.

• No patient interaction and no risk of malpractice exposure.

• One-time onboarding bonus of $50, paid after your first task on the project is approved.

• Quality incentives: additional earnings for high-quality approved tasks, according to the terms outlined in the project guidelines.