Engagement: Hourly contract (independent contractor)
Rate: USD 82-287/hour
Job SummaryWe are seeking a board-certified or board-eligible Neurologist to join our customer's team as an AI Trainer. In this remote role, you will apply your clinical expertise to train, evaluate, and refine advanced AI systems designed to support neurological diagnosis and patient care. Your insights will ensure that AI models reflect real-world neurological practice, clinical precision, and patient safety.
Key Responsibilities
Collaborate with AI engineers and data scientists to develop and evaluate machine learning models for neurological diagnostics and treatment support
Review, annotate, and validate neurological case data, including patient histories, examinations, imaging, and diagnostic test results
Interpret and analyze findings from EEG, EMG, nerve conduction studies, lumbar punctures, neuroimaging, and other diagnostic tools to inform AI model training
Provide expert guidance on disorders of the central and peripheral nervous systems, ensuring clinical nuance and accuracy
Identify safety risks, edge cases, and diagnostic complexities to improve AI reliability and robustness
Communicate detailed clinical insights clearly in both written and verbal formats to interdisciplinary teams
Stay current with advancements in neurology and integrate evolving best practices into AI training datasets
Required Skills and Qualifications
MD or DO with board certification or board eligibility in Neurology (adult or pediatric) and active medical licensure
Strong clinical experience diagnosing and managing a wide range of neurological disorders
Expertise in interpreting neurological examinations and advanced diagnostic testing
Proficiency in medical data analysis and structured clinical documentation
Exceptional written and verbal communication skills with strong attention to detail
Ability to synthesize complex neurological information for both technical and non-technical audiences
Comfortable collaborating in a fully remote, interdisciplinary environment
Preferred Qualifications
Experience contributing to AI, machine learning, or digital health initiatives
Familiarity with clinical data annotation and model evaluation workflows
Background in health informatics or neurological research
Experience in both adult and pediatric neurology
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