Neurologist

Turing • San Francisco, CA

1d • Remote

About The Position

In this project, the Neurologist will use expertise in neurology to fine-tune large language models, helping ensure AI systems provide accurate, empathetic, and safe medical reasoning. The role involves developing and evaluating clinical material and responses across neurological medicine, and collaborating with AI researchers and medical peers to improve model quality and reliability. The engagement is fully remote and collaborative, requires 20–40 hours per week with at least 4 hours per day and overlap with Pacific time, and is expected to last one month with a possible extension. It is a contractor/freelancer engagement without medical or paid leave.

Turing is based in San Francisco, California, and describes itself as a research accelerator for frontier AI labs and a partner to global enterprises deploying advanced AI systems. After applying, candidates receive an email with a login link to access the portal and complete their profile.

Requirements

• MD or equivalent.
• Active practice within the last 3+ years.
• Board certification or equivalent qualification in Neurology.
• Strong knowledge of neurological medicine, including stroke, epilepsy, multiple sclerosis, neurodegenerative diseases, and neurodiagnostics such as EEG, EMG, and neuroimaging.
• Ability to articulate complex medical reasoning in clear, patient-friendly language.
• Excellent written and spoken English.
• Availability for 20–40 hours per week, at least 4 hours per day, with overlap in Pacific time.

Nice To Haves

• Familiarity with digital medical tools.
• Education from a top-tier institution, with Harvard, Stanford, UCSF, and Oxford given as examples.

Responsibilities

• Design and solve advanced clinical scenarios reflecting neurology practice, including stroke management, seizure disorders, neurodegenerative diseases, and neuroimmunology.
• Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning in neurological medicine.
• Identify gaps in AI understanding across neurology subspecialties, including movement disorders, neuromuscular disease, and headache medicine.
• 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