Endocrinologist

Turing•Seattle, WA
•Remote

About The Position

In this project, the Endocrinologist will apply expertise in endocrinology to fine-tune large language models. The role focuses on helping AI systems provide accurate, empathetic, and safe medical reasoning about hormonal disorders, metabolic diseases, and long-term endocrine management. The work includes designing and solving clinical scenarios, assessing AI-generated answers, identifying knowledge gaps, collaborating with researchers and medical peers, and providing structured feedback for AI development in clinical and educational applications. The position is fully remote and collaborative, with a commitment of 20–40 hours per week, a minimum of 4 hours per day, and some overlap with Pacific 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.

Requirements

  • MD or equivalent.
  • Active practice within the last 3+ years.
  • Board certification or equivalent qualification in Endocrinology.
  • Strong grasp of endocrine medicine, including diabetes, thyroid disorders, adrenal pathology, pituitary diseases, and metabolic bone disease.
  • Ability to articulate complex medical reasoning in clear, patient-friendly language.
  • Excellent written and spoken English.
  • Education from a top-tier institution, with Harvard, Stanford, UCSF, and Oxford provided as examples.

Nice To Haves

  • Familiarity with digital medical tools.

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 next-generation AI development for clinical and educational applications.
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