
Physician MD/DO β Medical AI Evaluation
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in New York.
β’ Assess clinical EHR vignettes alongside corresponding questions, suggested answers, and distractor trap answers related to diagnosis and treatment tasks.
β’ Evaluate the quality of clinical reasoning, accuracy and completeness of vignettes, correctness and gradeability of answers, and the quality of trap answers.
β’ Determine if reasoning chains derive answers solely from the facts presented in the vignette.
β’ Rectify reasoning errors and compose brief rationales.
β’ Engage in a process that includes three independent blind assessments followed by adjudication by a physician.
β’ Fulfill project responsibilities via the platform and receive compensation for approved tasks.
β’ Possession of a medical degree (MD or DO).
β’ An active and unrestricted US medical license, validated at onboarding and re-verified on a monthly basis.
β’ Board certification or completion of residency training.
β’ Experience in direct patient care; attending-level experience is preferred.
β’ Extensive diagnostic and treatment experience across multiple systems in internal, family, emergency, or hospital medicine.
β’ Excellent clinical reasoning skills, including differential diagnosis, next-step management, and the application of evidence-based guidelines.
β’ Proficient written English skills (C1+).
β’ Previous experience in medical AI evaluation, clinical content or exam-question review, or medical annotation/QA is advantageous.
β’ Not suitable for medical students, unlicensed medical graduates, non-physician clinicians, or individuals with non-clinical healthcare titles.
β’ Must successfully complete qualification(s).
β’ Compensation per approved task at a predetermined fixed rate.
β’ Completely self-scheduled with no minimum hour requirements or set timetable.
β’ Opportunity for remote work.
β’ No patient contact and no exposure to malpractice risks.
β’ One-time onboarding reward of $50, payable after the approval of the first task.
β’ Quality incentives for tasks that receive high approval ratings.
β’ Flexible participation that accommodates other commitments.
β’ No need for time tracking or hour logging.
β’ Higher rates per task for QA and adjudication activities.
Atmosera
Cardinal Health
Mistral AI
Zoetis
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