Physician AI Tutor, Clinical Case Review

Posted 4 days ago

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

πŸ“‹ Description

β€’ Assess clinical EHR vignettes alongside accompanying questions, suggested answers, and misleading 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 quality of trap answers.

β€’ Verify whether reasoning chains derive answers exclusively from the facts presented in the vignettes.

β€’ Amend reasoning pathways and compose brief rationales.

β€’ Engage in three independent blind reviews followed by physician adjudication.

β€’ Complete project assignments via the platform and submit them for approval.


⛳️ Requirements

β€’ Possession of a medical degree (MD or DO).

β€’ An active, unrestricted medical license in the US, verified at onboarding and re-verified monthly.

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 medicine, family medicine, emergency medicine, or hospital medicine.

β€’ Strong clinical reasoning skills, encompassing differential diagnosis, next-step management, and adherence to evidence-based guidelines.

β€’ Previous experience in medical AI evaluation, clinical content review, exam-question assessment, or medical annotation/quality assurance is advantageous.

β€’ Proficient written English skills (C1+ level).

β€’ Not applicable to medical students, unlicensed medical graduates, non-physician clinicians, or individuals with non-clinical healthcare roles.


🏝️ Benefits

β€’ Fixed compensation per approved task, predetermined in advance.

β€’ Flexibility to self-schedule with no minimum hour requirements or set timetable.

β€’ Option for remote work.

β€’ No patient interaction or malpractice risk.

β€’ One-time onboarding bonus of $50 after the first task is approved.

β€’ Quality incentives awarded for high-quality approved tasks.

β€’ Increased compensation rates for quality assurance and adjudication tasks.

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