Remote Pulmonary Physician

Turing•New York, NY
•Remote

About The Position

In this remote project, the Pulmonary Physician will apply expertise in pulmonary and critical care medicine to fine-tune large language models. The role focuses on ensuring AI systems provide accurate, empathetic, and safe medical reasoning, drawing on knowledge of respiratory diagnostics, ventilator management, and ICU-level decision-making. The physician will create and solve advanced clinical scenarios, evaluate AI-generated responses, identify gaps in AI understanding, collaborate with AI researchers and medical peers, and provide structured expert feedback to support the development of AI for clinical and educational applications. The engagement is fully remote and collaborative, requires 20–40 hours per week with at least four hours per day and overlap with Pacific Time, and is initially for one month with possible extension. It is a contractor/freelancer engagement with no medical or paid leave.

Requirements

  • MD or equivalent.
  • Active practice within the last 3+ years.
  • Board certification or equivalent qualification in Pulmonary Medicine and/or Critical Care Medicine.
  • Strong grasp of pulmonary and critical care medicine, including respiratory failure, mechanical ventilation, lung diseases, and ICU management.
  • 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 pulmonary and critical care practice, including ventilator management, ARDS, COPD exacerbations, and sepsis-driven respiratory failure.
  • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning in pulmonary and critical care medicine.
  • Identify gaps in AI understanding across pulmonology and intensive care, including interstitial lung disease, pulmonary hypertension, and ICU protocols.
  • 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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