The work
Use your physical therapy experience to create rehabilitation scenarios and assess AI-generated clinical guidance. Your work will help test how AI handles real rehabilitation decisions.
- Write scenarios that cover rehabilitation from the initial evaluation through progression and discharge.
- Create reference answers that explain the reasoning behind clinical progression decisions.
- Review model responses for safety, contraindications, and evidence-based practice.
- Flag exercise recommendations that sound plausible but could harm a patient.
What it pays and takes
- Pay: $70 to $105 per hour.
- Time: At least 20 hours per week, with no fixed schedule.
- Work arrangement: Fully remote, asynchronous independent contractor work; the engagement is ongoing.
- Location: Open to candidates in the countries listed as eligible for this role.
- Required: A DPT or equivalent physical therapy degree, an active and unencumbered U.S. physical therapy license, and at least two years of clinical practice.
- Required: Experience in orthopedic, neurologic, or acute care rehabilitation, plus clear written English for explaining clinical reasoning.
- Helpful: OCS, NCS, or SCS board certification; sports, vestibular, or pelvic health experience; residency or fellowship training; or clinical instruction experience.
How it works
OpenTrain is where you start your application. Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training uses examples written and reviewed by people to help AI systems learn. In this role, physical therapists use clinical judgment to help assess whether rehabilitation guidance is safe and grounded in evidence-based practice.