The work
You will provide expert clinical judgment on complex dermatology cases used to evaluate AI models and curate training data. The work includes reviewing model outputs, documenting guideline-based reasoning, and helping improve clinical AI evaluation methods.
The role is fully remote and asynchronous, with occasional synchronous calls. The engagement is expected to last four weeks, and assignments may be extended based on project needs.
The role title references Computer Science (STEM), while the duties and qualifications focus on dermatology clinical AI review. Review the duties and qualifications before applying.
- Lead clinical review of complex or unclear dermatology cases.
- Resolve clinical disagreements through structured consensus building.
- Help develop clinical evaluation frameworks and guideline-aligned case commentary.
- Review AI model outputs and provide expert advisory input.
- Provide subspecialty consultation across relevant dermatology areas.
- Maintain reliable, protocol-aligned documentation for assigned case batches.
- Work with graphic medical images and clinically complex cases.
What it pays and takes
Compensation is structured per task. This is a part-time independent contractor opportunity for candidates in the United States, with a time requirement of 20 or more hours per week.
- Location: Open to candidates in the United States.
- Payment: Per task.
- Workload: 20 or more hours per week.
- Appointment: Assistant Professor level or above at an accredited US medical school or academic medical center.
- Credentials: Board certification in dermatology by the American Board of Dermatology.
- Experience: At least three years after residency and an active US medical license in good standing.
- Practice: Active clinical practice and strong knowledge of current dermatology guidelines.
- Communication: Strong written clinical reasoning and the ability to lead and document consensus.
- Language: Fluent in English.
Helpful background
Subspecialty fellowship training can be useful, particularly in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology. Relevant experience may also include dermatology publications, journal peer review, research committee or IRB service, resident or fellow teaching, specialty society involvement, or clinical AI evaluation and dermatology AI research.
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 reviewed examples, including clinical case evaluations and ratings of model responses. Experienced professionals are needed when the work depends on specialized knowledge, careful reasoning, and consistent judgments.