The work
You will help improve medical AI systems by creating difficult neurology tasks and reviewing AI-generated answers. Your reviews will focus on clinical accuracy, patient safety, current practice, and clinical guidelines.
- Create expert-level tasks based on real neurology workflows and clinical judgment.
- Review AI answers for accuracy, patient safety, and alignment with current guidelines.
- Write clear, structured feedback that helps improve model performance.
- Use expertise in neurologic examination, localization, differential diagnosis, neuroimaging, EEG, acute stroke care, and treatment planning.
- Apply knowledge in areas such as stroke, epilepsy, neurocritical care, neuromuscular disease, movement disorders, neuroimmunology, cognitive neurology, headache medicine, or neuro-oncology.
What it pays and takes
This is an ongoing, project-based contractor opportunity that can be completed alongside a current role. The work is remote and flexible, with no set daily schedule.
- Pay: up to $180 per hour.
- Time: 20 or more hours per week.
- Location: Open to candidates in the United States.
- Education: MD, DO, or equivalent medical degree with completed neurology residency training.
- License: Current medical license to practice in the United States.
- Experience: Working knowledge of at least one neurology subspecialty area.
- Skills: Strong written communication, attention to detail, and the ability to explain complex neurologic concepts clearly.
- Work style: Ability to work independently in a remote, asynchronous setting.
- Helpful background: Neurology board certification or eligibility, fellowship training, academic medical center or teaching hospital experience, peer-reviewed publications, clinical research, or experience with AI-assisted medical tools.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is where you find the role and start your application; it does not employ or pay contributors for this work.
About AI training work
AI training is the human work behind systems that learn from examples, including writing and rating model responses. Neurology experts are needed to assess whether medical AI answers are accurate, safe, and aligned with clinical practice.