[Hiring] Endocrinologist @Turing

Role Description

In this project, you will leverage your expertise in endocrinology to help fine-tune large language models (like ChatGPT). Your deep understanding of hormonal disorders, metabolic diseases, and long-term endocrine management will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning.

• Design and solve advanced clinical scenarios reflecting endocrinology practice, from complex diabetes management to 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 that informs next-generation AI development for clinical and educational applications.

Qualifications

• MD or equivalent; active practice within the last 3+ years.
• Board certification or equivalent qualification in Endocrinology.
• Strong grasp of endocrine medicine — diabetes, thyroid disorders, adrenal pathology, pituitary diseases, and metabolic bone disease.
• 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.).

Requirements

• Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST).
• Engagement: Contractor/freelancer (no medical or paid leave).
• Duration: 1 month, with possible extension.
• Remote: Fully remote, collaborative environment.

Company Description

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways:

• Accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents.
• Applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.