Physician, MD/DO – Medical AI

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

📋 Description

• Assess clinical EHR vignettes along with associated questions, suggested answers, and distractor responses for diagnosis and treatment tasks.

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

• Determine if reasoning chains lead to answers based solely on facts provided in the vignette.

• Correct reasoning pathways and compose brief rationales.

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

• Fulfill qualification requirements, become part of the project, submit tasks via the platform, and complete approved assignments.

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

⛳️ Requirements

• Medical degree (MD or DO).

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

• Board certification or completion of residency training.

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

• Extensive multi-system diagnostic and treatment expertise 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+).

• US-licensed physician residing in an eligible US state.

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

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

🏝️ Benefits

• One-time onboarding bonus of $50, disbursed after your first task on the project receives approval.

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

• Fully self-scheduled: no minimum hours or fixed schedule; contributors select which tasks to undertake and when.

• Opportunity for remote work.

• No patient contact and no risk of malpractice exposure.

• Participation is restricted to a flexible, time-limited project.

• Earnings are paid for completed and approved tasks.

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