Physician, Medical AI Evaluation

This is a fully remote position, open to applicants in Idaho, +4 more states.

📋 Description

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

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

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

• Correct reasoning paths and compose brief rationales.

• Engage in three independent blind evaluations for each case, followed by physician adjudication.

• Fulfill qualifications, join the project, complete assigned tasks, and submit them via the platform.

• Enhance medical AI tools through the assessment of written clinical cases.

⛳️ Requirements

• Possession of a medical degree (MD or DO).

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

• Board certification or completion of residency training.

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

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

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

• Proficient written English (C1+ level).

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

• Not applicable for medical students, unlicensed medical graduates, non-physician clinicians, or those holding non-clinical healthcare titles.

🏝️ Benefits

• Compensation per approved task at a predetermined fixed rate.

• Flexible self-scheduling with no minimum hours or set timetable.

• Opportunity for remote work.

• No patient interaction and no exposure to malpractice liability.

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

• Quality incentives for tasks that receive high-quality approvals.

• Increased per-task rates for QA and adjudication assignments.