Domain Expert: Engineering

This role involves senior clinical review for dermatology AI evaluation. You will work with complex cases and graphic medical images, document defensible reasoning, and help build consistent review standards. The duties and qualifications should be reviewed carefully before applying because the listing title and dermatology responsibilities do not fully align.

You will work remotely as an independent contractor. The engagement is asynchronous with occasional synchronous calls and is expected to last four weeks.

• Review complex or unclear dermatology cases using senior clinical judgment.
• Resolve disagreements among reviewers through a structured consensus process.
• Review AI model outputs and provide expert clinical advisory input.
• Help develop evaluation frameworks and write guideline-aligned commentary.
• Document reasoning and consensus across assigned case batches.
• Provide subspecialty consultation while working with clinical complexity and graphic medical images.

Compensation is paid per task and is determined by experience, academic standing, and clinical expertise. The work requires strong clinical reasoning, clear written communication, and careful adherence to project protocols.

• Pay: Paid per task; compensation depends on experience, academic standing, and clinical expertise.
• Schedule: 20 or more hours per week, with an asynchronous schedule and occasional synchronous calls.
• Engagement: Independent contractor, part time, remote, and expected to last four weeks.
• Experience: At least three years of experience after completing residency.
• Credentials: Faculty appointment at the Assistant Professor level or above at an accredited US medical school or academic medical center.
• Certification: Board certification in dermatology by the American Board of Dermatology.
• Licensure: An active medical license in good standing in at least one US state.
• Practice: An active clinical practice is required.
• Language: Fluent in English.
• Skills: Strong written clinical reasoning, consensus leadership and documentation, and disciplined protocol adherence.
• Helpful background: Fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
• Relevant additional experience includes dermatology publications, journal peer review, IRB or research committee service, resident or fellow teaching, specialty society involvement, and clinical AI, digital health, or dermatology AI research.
• Candidates should be prepared to disclose applicable conflicts of interest involving dermatology AI, digital health, or pharmaceutical organizations.

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

AI training is the human work behind systems that learn from examples. Specialists review cases, rate model outputs, and explain sound answers so AI systems can be evaluated and improved. OpenTrain helps people find these projects, build a profile, and apply in one place.