Remote Endocrinologist

Turing•New York, NY
•Remote

About The Position

In this project, the Endocrinologist will use expertise in endocrinology to fine-tune large language models, helping ensure AI systems provide accurate, empathetic, and safe medical reasoning. The work involves developing and evaluating advanced clinical scenarios and AI responses across endocrine medicine, then providing structured feedback to improve model quality and reliability for clinical and educational applications. The engagement is fully remote and collaborative, with a commitment of 20–40 hours per week (at least 4 hours per day) and some overlap with Pacific Standard Time. It is a contractor/freelancer engagement for one month, with a possible extension. Medical or paid leave is not provided.

Requirements

  • MD or equivalent.
  • Active practice within the last 3+ years.
  • Board certification or equivalent qualification in Endocrinology.
  • Strong knowledge of diabetes, thyroid disorders, adrenal pathology, pituitary diseases, and metabolic bone disease.
  • Ability to explain complex medical reasoning in clear, patient-friendly language.
  • Excellent written and spoken English.
  • Commitment of 20–40 hours per week, with a minimum of 4 hours per day and overlap with PST.

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 endocrinology practice, including complex diabetes management and thyroid, adrenal, and pituitary disorders.
  • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning in endocrine medicine.
  • Identify gaps in AI understanding across endocrinology subspecialties, including diabetes, bone metabolism, and reproductive endocrinology.
  • 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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