Emergency Medicine Physician - AI Evaluation

What You'll Do5

• Build demanding clinical tasks, longitudinal chart scenarios, reference answers and scoring rubrics around emergency decision-making, patient safety and EMS handoffs.
• Reconstruct fragmented records, flag contradictions and missing actions, then judge the clinical reasoning, documentation quality and safety behind each response.
• Apply structured rubrics, weigh feedback from specialists and revise cases across calibration rounds.
• Test model output against conclusions a clinician can defend, and correct cases that fall short.
• Review other contributors' work, settle ambiguous clinical or rubric questions and hold quality standards steady across the project.

Requirements5

• At least 8 years of relevant professional experience, with current practice or practice inside the last three years.
• An active physician license plus board certification or a recognized credential appropriate to emergency medicine.
• A relevant healthcare degree or equivalent practical experience.
• Strong clinical reasoning, chart review, documentation and written communication, with conclusions you can defend on clinical grounds.
• Comfort following standardized rubrics, absorbing critique and working through review and calibration cycles.

Preferred Qualifications2

• Familiarity with US clinical guidelines, payer policies, regulatory requirements and healthcare workflows.
• Experience with AI evaluation, clinical content or assessment development, expert review or quality improvement.

Who Should Apply

Board-certified emergency physicians who still see patients, or did within the past three years, and want a hand in how AI handles clinical judgment. Eight or more years in the ED, sharp chart-review habits and comfort writing rubric-based assessments fit this project.

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