Pulmonary Physician

Turing•San Francisco, CA
•Remote

About The Position

In this project, the Pulmonary Physician will use expertise in pulmonary and critical care medicine to help fine-tune large language models. The role focuses on ensuring AI systems provide accurate, empathetic, and safe medical reasoning, drawing on expertise in respiratory diagnostics, ventilator management, and ICU-level decision-making. The work includes designing and solving advanced clinical scenarios, evaluating AI-generated responses, identifying gaps in AI understanding across pulmonology and intensive care, collaborating with AI researchers and medical peers, and providing structured expert feedback to support AI development for clinical and educational applications. This is a fully remote contractor/freelancer engagement for 20–40 hours per week, with a minimum of four hours per day and some overlap with PST. The engagement lasts one month, with a possible extension. The posting states that medical or paid leave is not provided.

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 in pulmonary and critical care medicine, 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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