Pulmonary Physician

Turing•San Francisco, CA
•Remote

About The Position

In this project, the Pulmonary Physician will apply expertise in pulmonary and critical care medicine to help fine-tune large language models. The role focuses on helping AI systems provide accurate, empathetic, and safe medical reasoning through expert clinical scenario design, evaluation, and feedback. The position 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 Standard Time. The engagement is as a contractor or freelancer, with no medical or paid leave. The initial duration is one month, with a possible extension. Turing is based in San Francisco, California, and describes itself as a research accelerator for frontier AI labs and a partner for global enterprises deploying advanced AI systems. Applicants will receive an email with a login link to access the portal and complete their profile.

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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