Dermatology Clinical Reviewer

OpenTrain AI, Inc.; United States; Remote; USD 60,000 - 90,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a senior clinical reviewer to work remotely on complex dermatology cases within a longitudinal clinical dataset. You will provide expert opinions, document consensus, and help shape evaluation frameworks for AI model outputs.

The role emphasizes written clinical commentary, adherence to current guidelines, and clear communication with other reviewers. This is a remote, part‑time independent contractor engagement, starting with a four‑week plan and retainer‑like task

Qualifications

• Board certification in dermatology by the American Board of Dermatology.
• Active medical license in at least one US state.
• At least three years after residency with active clinical practice.
• Strong written clinical reasoning and deep familiarity with current dermatology guidelines.
• Helpful: subspecialty fellowship training and peer‑reviewed publications.
• Helpful: experience with clinical AI evaluation and dermatology AI research.

Responsibilities

• Review difficult dermatology cases and help resolve clinical disagreements through structured discussion.
• Document expert consensus and provide advisory input during AI model output reviews.
• Contribute to clinical evaluation frameworks used to assess AI model outputs.
• Offer subspecialty consultation and write guideline-aligned clinical commentary.
• Follow project protocols and communicate constructively with other expert reviewers.

Skills

Dermatology expertise

Clinical reasoning

Education

Assistant Professor level appointment

Job description

The Work

You will provide senior clinical review for complex or ambiguous dermatology cases in a longitudinal clinical dataset. The work combines expert case review, consensus building, evaluation framework development, and clear written clinical commentary.

Case materials may include graphic medical images. You will also disclose relevant conflicts of interest and maintain documentation that is clinically defensible and aligned with current guidelines.

• Review difficult dermatology cases and help resolve clinical disagreements through structured discussion.
• Document expert consensus and provide advisory input during AI model output reviews.
• Contribute to clinical evaluation frameworks used to assess AI model outputs.
• Offer subspecialty consultation and write guideline-aligned clinical commentary.
• Follow project protocols and communicate constructively with other expert reviewers.

What It Pays and Takes

This is a fully remote, part-time independent contractor opportunity. Work is asynchronous with occasional synchronous calls, and the initial engagement is planned for four weeks. Assignments may change with project needs.

Compensation is paid per task and is determined by experience, academic standing, and clinical expertise.

• Workload: 20 or more hours per week.
• Location: Open to candidates in the United States.
• Language: Fluent in English.
• Required: Faculty appointment at the Assistant Professor level or above at an accredited US medical school or academic medical center.
• Required: Board certification in dermatology by the American Board of Dermatology.
• Required: Active medical license in at least one US state.
• Required: At least three years after completing residency and active clinical practice.
• Required: Strong written clinical reasoning and deep familiarity with current dermatology guidelines.
• Helpful: Relevant subspecialty fellowship training and peer-reviewed dermatology publications.
• Helpful: Clinical AI evaluation, digital health, dermatology AI research, journal peer review, IRB or research committee service, teaching residents or fellows, or involvement with dermatology specialty societies.
• You must be comfortable reviewing clinically complex material and graphic medical images.

About AI Training Work

AI training uses expert review and human feedback to help artificial intelligence systems produce more accurate and useful results. Experienced clinicians are paid for this work because their judgment helps assess model outputs and shape reliable clinical systems.