This short-term, project-based role involves testing a healthcare technology product from a practicing physician’s point of view. You will follow set clinical workflows, assess how the product works, and provide structured feedback based on your medical experience.
- Follow predefined testing activities and clinical workflows.
- Assess product usability, functionality, and relevance to clinical practice.
- Identify potential issues and recommend improvements using professional judgment.
- Complete testing activities accurately and provide structured feedback within required timelines.
What it pays and takes
The role is part-time contract work for medical doctors in the United States.
- Workload: 20 or more hours per week.
- Location: Open to candidates in the United States.
- Language: Professional fluency in English.
- Education: MD or DO degree from an accredited medical institution.
- License: Active and unrestricted medical license in the United States.
- Certification: Board certification in a recognized medical specialty.
- Experience: At least three years of relevant clinical experience and current or recent medical practice in the United States.
- Comfort using digital healthcare tools and giving structured feedback.
- Helpful experience includes electronic medical records, electronic health records, hospital information systems, clinical decision-support tools, AI-enabled healthcare applications, clinical research, product testing, or healthcare technology projects.
- Preferred specialties include internal medicine, family medicine, pediatrics, emergency medicine, cardiology, neurology, endocrinology, hematology and oncology, nephrology, and infectious diseases.
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 reviewing outputs, rating results, and giving structured feedback. OpenTrain helps people find these projects, and professional healthcare knowledge is useful when a project needs careful review of clinical tools or content.