Orthopedic Surgeon AI Evaluation Expert

You will help train AI systems by creating difficult orthopedic surgery tasks and reviewing the clinical responses they produce. Your feedback will focus on accuracy, patient safety, current orthopedic practice, and relevant guidelines.

The work is remote, ongoing, project-based, and asynchronous, so it can fit alongside a current role.

• Create expert tasks based on real orthopedic surgical decisions.
• Develop tasks involving fracture classification, radiograph and CT interpretation, operative planning, implant and fixation selection, and perioperative or postoperative management.
• Evaluate AI-generated clinical responses for accuracy, safety, and alignment with orthopedic practice.
• Write clear, structured feedback to help improve AI model performance.
• Use independent judgment in a remote setting.

What it pays and takes

This is part-time contractor work with a minimum commitment of 20 hours per week. The role is open to candidates in the United States.

• Pay: up to $180 per hour.
• Workload: 20 or more hours per week.
• Location: United States.
• Language: Fluent in English.
• Education: MD, DO, or an equivalent medical degree.
• Training: Completed residency in orthopedic surgery.
• Licensure: Current medical licensure in the United States.
• Clinical knowledge: Working knowledge in at least one area such as trauma, arthroplasty, sports medicine, spine, hand and upper extremity, foot and ankle, pediatric orthopedics, or musculoskeletal oncology.
• Skills: Strong written communication, close attention to detail, and the ability to explain complex orthopedic and surgical concepts clearly.
• Helpful background: Board certification or eligibility, fellowship training, experience at a Level I trauma center, academic medical center, or teaching hospital, peer-reviewed publications, or clinical research experience.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that learn from examples, including written tasks and reviewed model responses. Experts are paid for this work because their judgment helps make AI outputs more accurate, useful, and safe.