The Work
You will review complex and ambiguous dermatology cases in a longitudinal clinical dataset. Your work will support data curation and evaluation of AI models through careful clinical judgment and structured documentation.
The supplied role title identifies chemistry domain expertise, while the duties and qualifications describe dermatology clinical review. Review the duties and qualifications carefully before applying.
- Lead clinical review of complex dermatology cases.
- Resolve disagreements among clinical reviewers and document the final consensus.
- Help develop clinical evaluation frameworks.
- Review AI model outputs and provide expert guidance.
- Write guideline-aligned clinical commentary.
- Provide subspecialty consultation and clinically defensible conclusions.
- Communicate reliably with peer faculty reviewers and follow project protocols.
- Work with graphic medical images and clinically complex material.
What It Pays And Takes
This is a remote, asynchronous independent contractor engagement lasting four weeks. It includes occasional synchronous calls, and compensation is paid per task based on experience, academic standing, and clinical expertise.
- Pay: Paid per task; the amount is determined by experience, academic standing, and clinical expertise.
- Workload: An average of 15 hours per week, with up to 40 hours per week during peak batches.
- Location: Fully remote and open worldwide, subject to the US academic and licensing requirements below.
- Experience level: Entry level.
- Education: Faculty appointment at the Assistant Professor level or above at an accredited US medical school or academic medical center.
- Certification: American Board of Dermatology certification.
- Clinical background: At least three years after residency and an active clinical practice.
- Licensing: An active medical license in good standing in at least one US state.
- Communication: Strong written clinical reasoning and the ability to lead and document clinical consensus.
- Knowledge: Familiarity with current dermatology guidelines.
- Language: Fluent in English.
Helpful Background
The following experience is useful but is not listed as required. It can help with specialty review, research, education, and clinical AI evaluation.
- Fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
- Peer-reviewed dermatology publications.
- Journal peer review or IRB and research committee service.
- Experience teaching residents or fellows.
- Clinical AI evaluation or digital health experience.
- Dermatology AI research.
- Involvement with dermatology specialty societies.
How It Works
Apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind artificial intelligence, including reviewing examples and evaluating model responses. Experienced specialists are needed for complex medical tasks because accurate judgments help make model outputs more useful and reliable.