Remote Physician - Emergency Medicine

Turing•New York, NY
•Remote

About The Position

In this project, the Physician will use emergency medicine expertise to help fine-tune large language models. The role applies knowledge of acute diagnostics, triage protocols, and time-critical decision-making to support accurate, empathetic, and safe medical reasoning in AI systems. The engagement is fully remote and collaborative, with a commitment of 20–40 hours per week, a minimum of four hours per day, and some overlap with Pacific Time. It is a contractor/freelancer engagement lasting one month, with a possible extension. Medical or paid leave is not provided. Turing describes itself as a San Francisco-based research accelerator for frontier AI labs and a partner for enterprises deploying advanced AI systems. It supports frontier research through data, training pipelines, and AI researchers, and helps enterprises develop reliable AI systems with measurable impact.

Requirements

  • MD or equivalent.
  • Active practice within the last three or more years.
  • Board certification or equivalent qualification in Emergency Medicine.
  • Strong grasp of the full spectrum of emergency medicine, including trauma, resuscitation, toxicology, and acute care.
  • Ability to articulate complex medical reasoning in clear, patient-friendly language.
  • Excellent written and spoken English.

Nice To Haves

  • Familiarity with digital medical tools.
  • Education from a top-tier institution, such as Harvard, Stanford, UCSF, or Oxford.

Responsibilities

  • Design and solve advanced clinical scenarios reflecting emergency medicine practice, including acute trauma management and rapid differential diagnoses.
  • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning in high-acuity settings.
  • Identify gaps in AI understanding across emergency medicine presentations and procedures.
  • Collaborate with AI researchers and medical peers to improve model quality and reliability.
  • Provide structured expert feedback to inform AI development for clinical and educational applications.
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