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Open nowPosted 5 hours ago

Board-Certified Neurologist, Medical AI Expert (Remote, US)

Weekday AI

Pay
$200 an hour
Where
United States
Work mode
Remote
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Your applicationOpen nowBoard-Certified Neurologist, Medical AI Expert (Remote, US)Weekday AI · United States

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This job: posted 5 hours ago

The posting

This role is for one of our clients

Compensation: $200 per hour

Employment Type: Contract (Independent Contractor) Location: Remote (United States) Work Arrangement: Part-Time, Flexible Hours Start Date: Immediate

Job Overview

We are seeking experienced, board-certified Neurologists (MDs and DOs) to contribute their clinical expertise to the evaluation and advancement of next-generation healthcare AI models in collaboration with a leading AI research laboratory.

In this role, you will review de-identified patient medical records and evaluate AI-generated responses to neurology-related clinical questions. Leveraging your specialized medical knowledge and practical clinical experience, you will assess the accuracy, safety, and quality of AI-generated outputs, ensuring they align with established neurological practices and current standards of care.

Your clinical insights will help enhance the diagnostic reasoning, medical accuracy, and reliability of advanced AI systems designed to support healthcare professionals and patient care.

Requirements

Key Responsibilities

  • Evaluate AI-generated responses to neurology-related clinical questions for clinical accuracy, patient safety, and adherence to current medical guidelines and standards of care.
  • Review de-identified patient charts, medical histories, diagnostic reports, and clinical findings to validate AI-generated answers.
  • Compare two AI-generated responses and determine which demonstrates stronger clinical reasoning, accuracy, and medical relevance.
  • Assess diagnostic approaches, differential diagnoses, treatment recommendations, and patient management strategies based on expert clinical judgment.
  • Develop structured written rationales highlighting the clinical rigor, completeness, clarity, and accuracy of evaluated responses.
  • Identify and flag medical inaccuracies, inappropriate recommendations, and potential clinical errors that could compromise patient safety.
  • Provide actionable feedback to AI research teams to improve the performance, consistency, and reliability of healthcare AI models.

Required Qualifications

  • MD (Doctor of Medicine) or DO (Doctor of Osteopathic Medicine) degree from an accredited medical school.
  • Board certification in ABPN Neurology through an ABMS member board or the American Osteopathic Association (AOA).
  • Active and unrestricted medical license in the United States.
  • Successful completion of neurology residency training, along with fellowship training where required by the relevant subspecialty.
  • Currently practicing as a Neurologist and actively involved in patient care within the United States.
  • Minimum of 1 year of independent clinical practice following completion of training.
  • 3+ years of post-training professional experience strongly preferred.
  • Strong understanding of neurological disorders, diagnostic procedures, clinical assessments, and treatment protocols.
  • Excellent analytical and critical-thinking abilities, with exceptional attention to clinical detail.
  • Strong written communication skills and the ability to explain complex medical concepts and clinical reasoning clearly.

Project Details & Work Structure

  • Start Date: Immediate.
  • Work Arrangement: Fully Remote.
  • Working Hours: Flexible, part-time hourly engagement.
  • Engagement Type: Independent Contractor.
  • Location Requirement: Candidates must be based in the United States.

Application & Onboarding Process

  1. Application Submission: Upload your updated resume highlighting your medical qualifications, board certification, and professional clinical experience.
  2. Initial Interview: Participate in a 25-minute conversational interview covering your clinical background, professional experience, and motivation for joining the project.
  3. Credential Verification: Verification of medical license status, board certification, residency and fellowship training (where applicable), and current clinical practice setting.
  4. Final Selection: Candidate credentials will be reviewed, and final project placement will be confirmed by the project team.
  5. Onboarding: Selected candidates will receive further instructions and onboarding details within a few days of completing the selection process.

Contract & Payment Terms

  • Engagement will be on an independent contractor basis.
  • The position is fully remote and offers flexibility to complete assignments according to your availability and project requirements.
  • Project timelines may be extended, shortened, or concluded early depending on business requirements and individual performance.
  • The engagement will not require access to confidential or proprietary information belonging to any current or former employer, client, or healthcare institution.
  • Payments will be processed weekly through Stripe or Wise based on services rendered.
  • H-1B and STEM OPT visa holders cannot be accommodated for this opportunity.
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