
Physician MD/DO – Medical AI Evaluation
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Pennsylvania.
• Assess written clinical EHR vignettes along with associated questions, proposed answers, and distractor trap answers within diagnosis and treatment tasks.
• Evaluate the quality of clinical reasoning, accuracy and completeness of vignettes, correctness and gradeability of answers, and quality of traps.
• Ensure that reasoning chains derive answers solely from the facts presented in the vignettes.
• Correct reasoning paths and produce brief rationales.
• Engage in three independent blind reads followed by physician adjudication.
• Fulfill qualification requirements, join the project, submit tasks via the platform, and complete approved tasks.
• Contribute flexibly to a time-limited medical AI evaluation project.
• Medical degree (MD or DO).
• Active, unrestricted US medical license, verified during onboarding and re-checked monthly.
• Board certification or completion of residency training.
• Experience in direct patient care; attending-level experience 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 the application of evidence-based guidelines.
• Proficient written English (C1+).
• 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 individuals with non-clinical healthcare titles.
• Fixed rate for each approved task, predetermined in advance.
• Fully self-scheduled work without minimum hours or a set schedule.
• Opportunity for remote work.
• One-time onboarding reward of $50, paid upon approval of the first task in the project.
• Quality incentives: additional earnings for high-quality approved tasks, as outlined in the project guidelines.
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