Neurologist

Turing•San Francisco, CA
•Remote

About The Position

In this project, the Neurologist will apply expertise in neurology to fine-tune large language models. The role involves using knowledge of neurological diagnostics, neurodegenerative diseases, and complex neurological care to help ensure AI systems provide accurate, empathetic, and safe medical reasoning. The Neurologist will design and solve advanced clinical scenarios reflecting neurology practice, evaluate AI-generated responses, identify gaps in AI understanding across neurology subspecialties, and collaborate with AI researchers and medical peers. The role also includes providing structured expert feedback to support AI development for clinical and educational applications. This is a fully remote contractor/freelancer engagement for 20–40 hours per week, with a minimum of four hours per day and overlap with PST. The duration is one month, with a possible extension. The posting states that there is no medical or paid leave.

Requirements

  • MD or equivalent.
  • Active practice within the last three or more years.
  • Board certification or equivalent qualification in Neurology.
  • Strong grasp 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.

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 covering 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 subspecialties such as movement disorders, neuromuscular disease, and headache medicine.
  • Collaborate with AI researchers and medical peers to improve model quality and reliability.
  • Provide structured expert feedback for AI development in clinical and educational applications.
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