Physician, MD/DO – Medical AI Evaluation

Posted 3 days ago

This is a fully remote position, open to applicants in Virginia, +1 more state.

📋 Description

• Assess clinical EHR vignettes alongside questions, suggested answers, and distractor “trap” answers related to diagnosis and treatment tasks.

• Analyze cases that cover cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems.

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

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

• Rectify reasoning pathways and compose concise rationales.

• Operate within three independent blind reviews followed by physician adjudication.

• Fulfill project-specific tasks during active phases, ensuring submission by deadlines and compliance with acceptance criteria.


⛳️ Requirements

• Must be a US-based, actively practicing physician (MD/DO).

• Possess a medical degree (MD or DO).

• Hold an active, unrestricted US medical license, confirmed by the issuing medical board.

• Have board certification or completed residency training.

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

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

• Demonstrate strong clinical reasoning skills, including differential diagnosis, next-step management, and the application of evidence-based guidelines.

• Excellent written English proficiency (C1+).

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

• CV must be submitted in English with indicated English proficiency level.

• Capability to meet task deadlines and specified acceptance criteria.


🏝️ Benefits

• Compensation provided per accepted task.

• Competitive rate of up to the equivalent of $100/hr, based on qualification tier and task efficiency.

• Part-time, project-oriented opportunities.

• Flexible workload during active project phases (estimated 10–20 hours per week).

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