Physician Reviewer, MD/DO – Medical AI Evaluation

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

📋 Description

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

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

• Determine if reasoning chains derive answers solely from the facts presented in the vignettes.

• Correct reasoning pathways and compose brief rationales.

• Operate within three independent blind reviews followed by physician adjudication.

• Complete project assignments within the established timeline and acceptance criteria.

• Enhance medical AI tools through the assessment of genuine clinical complexities.

⛳️ Requirements

• Medical degree (MD or DO).

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

• Currently practicing as a physician.

• Board certification or completion of residency training.

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

• Extensive, multi-system diagnostic and treatment experience in internal medicine, family medicine, emergency medicine, or hospital medicine.

• Strong clinical reasoning skills, including differential diagnosis, next-step management, and application of evidence-based guidelines.

• Proficient in written English (C1+).

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

• Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals with non-clinical healthcare roles.

🏝️ Benefits

• Compensation per approved task, approximately equivalent to $100/hr.

• Flexible schedule; choose your contribution timing and amount.

• Ability to work remotely from any location.

• No patient interaction and no malpractice risk.

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

• Incentives: additional earnings for high-quality approved tasks.

• Participation is project-based.