Remote Endocrinologist

Turing • New York, NY

4d • Remote

About The Position

In this remote project role, you will use your endocrinology expertise to fine-tune large language models. Your knowledge of hormonal disorders, metabolic diseases, and long-term endocrine management will help AI systems provide accurate, empathetic, and safe medical reasoning.

You will create and solve advanced clinical scenarios, assess AI-generated responses for diagnostic accuracy and evidence-based clinical judgment, identify gaps in the models’ understanding of endocrine subspecialties, and collaborate with AI researchers and medical peers. You will also provide structured expert feedback to support AI development for clinical and educational applications.

The engagement is fully remote and collaborative, for 20–40 hours per week with a minimum of four hours per day and some overlap with PST. It is a contractor/freelancer engagement lasting one month, with a possible extension. The role does not include medical or paid leave.

Requirements

• MD or equivalent.
• Active practice within the last three or more years.
• Board certification or equivalent qualification in Endocrinology.
• Strong knowledge of endocrine medicine, including diabetes, thyroid disorders, adrenal pathology, pituitary diseases, and metabolic bone disease.
• Ability to explain complex medical reasoning clearly in 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 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.

What This Job Offers

• Career Level: Senior
• Education Level: Ph.D. or professional degree