Board-Certified Orthopedic Surgeon, Medical AI Expert (Remote, US)
Its $350/hr is above the $75/hr median of the Law, Medicine & Finance roles open now, whose typical pay runs $40–$150/hr. How that pay moves week by week is in our research on Law, Medicine & Finance work.
Half of all Law, Medicine & Finance roles come down within 29 days of being listed, and 50.9% are still up after four weeks. This one was posted today.
About the role
Compensation: $350 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 Orthopedic Surgeons (MDs and DOs) to contribute their clinical expertise to the evaluation and improvement 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 assess AI-generated responses to orthopedic surgery-related clinical questions. You will leverage your specialized medical knowledge and real-world clinical experience to evaluate the accuracy, safety, and quality of AI-generated recommendations, ensuring they align with established orthopedic practices and current standards of care.
Your insights will play an important role in improving the clinical reasoning capabilities, reliability, and patient safety standards of advanced medical AI systems.
Key Responsibilities
- Evaluate AI-generated responses to orthopedic surgery-related clinical questions for medical accuracy, safety, and adherence to current clinical guidelines and standards of care.
- Review de-identified patient charts, medical histories, diagnostic findings, and treatment information to assess the relevance and accuracy of AI-generated answers.
- Compare two AI-generated clinical responses and determine which provides stronger medical reasoning, accuracy, and clinical relevance.
- Assess diagnostic approaches, treatment recommendations, surgical considerations, and patient care decisions based on expert clinical judgment.
- Prepare structured written rationales explaining the strengths, weaknesses, completeness, and clinical rigor of evaluated responses.
- Identify and flag medical inaccuracies, inappropriate recommendations, and potential clinical errors that could compromise patient safety.
- Provide actionable feedback to help improve the performance 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 ABOS Orthopaedic Surgery through an ABMS member board or the American Osteopathic Association (AOA).
- Active and unrestricted medical license in the United States.
- Successful completion of orthopedic surgery residency training, along with fellowship training where required by the relevant subspecialty.
- Currently practicing as an Orthopedic Surgeon 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 clinical judgment and expertise in orthopedic diagnosis, surgical procedures, and patient management.
- Excellent written communication skills and the ability to articulate complex medical reasoning clearly.
- Exceptional attention to detail and analytical evaluation skills.
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
- Application Submission: Upload your updated resume highlighting your orthopedic surgery experience, qualifications, and clinical expertise.
- Initial Interview: Complete a 25-minute conversational interview covering your professional background, clinical experience, and motivation for participating in the project.
- Credential Verification: Verification of medical license status, board certification, residency and fellowship training (where applicable), and current clinical practice setting.
- Final Selection: Selected candidates will be reviewed and confirmed for project placement by the project team.
- Onboarding: Successful applicants 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.
- Projects 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.
Where you can work
This role is 100% remote, for applicants located in United States.
From Weekday's job posting, checked 12 Nov 2026.
The application
Just your details and CV.
From Weekday's apply page, checked 12 Nov 2026.
About Weekday
A recruiting company that staffs AI training companies' expert projects, most of them open in the US and paid by the approved hour or task.
How it pays: Most postings do not say; one current posting says approved work is paid weekly, and its 2025 postings for an AI lab said independent contractors were paid weekly (daily on two) through Stripe Connect (its Workable board, read 12 Nov 2026).
When it pays: Most postings name no schedule. How often others pay
Interview: on some roles or projects (Per-posting screening (AI interview, timed tests or portfolio review) and a manager's review). Platforms with no interview
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