Role Overview
In this project, you will leverage your expertise in pulmonary and critical care medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of respiratory diagnostics, ventilator management, and ICU-level decision-making will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning.
What You’ll Do
- Design and solve advanced clinical scenarios reflecting pulmonary and critical care practice, from complex ventilator management to 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 that informs next-generation AI development for clinical and educational applications.
Candidate 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 — respiratory failure, mechanical ventilation, lung diseases, and ICU management.
- Skilled in articulating complex medical reasoning in clear, patient-friendly language.
- Excellent written and spoken English; familiarity with digital medical tools is a plus.
- Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.).