Senior Dermatology AI Evaluation Reviewer

OpenTrain AI, Inc.; Northern (KY); Hybrid; USD 17,000 - 45,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a senior dermatology reviewer for clinical data curation and evaluation of AI models.

You will apply advanced dermatology expertise to complex cases, help establish clinical evaluation frameworks, and provide structured feedback on model outputs. This fully remote contractor role is designed for academic dermatologists who bring rigorous clinical judgment and guideline-based reasoning.

Qualifications

• Board certification in dermatology by the American Board of Dermatology.
• Active medical license in at least one US state.
• At least three years of post-residency clinical practice.

Responsibilities

• Lead senior-level clinical review on complex dermatology cases.
• Facilitate structured resolution of reviewer disagreements.
• Contribute to clinical evaluation frameworks with guideline-aligned commentary.
• Document clinically defensible conclusions and support consensus among reviewers.

Skills

Dermatology expertise

Clinical reasoning

Leadership in reviews

Education

Board certification in dermatology

Medical license (US)

Assistant Professor or higher (faculty)

Job description

About OpenTrain

OpenTrain is the centralized, open platform where AI training and data-labeling freelancers find work, consolidate opportunities across platforms, and build a unified AI training portfolio they control. We make specialized AI training work easier to track, apply for, and grow into a durable freelance career.

About this role

OpenTrain is recruiting a senior dermatology reviewer to support clinical data curation and evaluation of AI models. You will apply advanced dermatology expertise to complex and ambiguous cases, help establish clinical evaluation frameworks, and provide structured feedback on model outputs. This fully remote contractor role is designed for academic dermatologists who bring rigorous clinical judgment, guideline-based reasoning, and clear documentation to clinical AI development.

What you will do

You will lead senior-level clinical review on complex or ambiguous dermatology cases, facilitate structured resolution of disagreements among reviewers, and contribute to clinical evaluation frameworks. You will provide guideline-aligned commentary, subspecialty consultation, and advisory input on AI model outputs. You will document clinically defensible conclusions, support consensus among reviewers, follow project protocols, and disclose relevant conflicts of interest.

Required skills

Candidates should hold a faculty appointment at the Assistant Professor level or above at an accredited US medical school or academic medical center. Required qualifications include board certification in dermatology by the American Board of Dermatology, an active medical license in good standing in at least one US state, active clinical practice, and at least three years after residency completion. Candidates should demonstrate strong written articulation of clinical reasoning, the ability to lead and document clinical consensus, deep familiarity with current dermatology guidelines, and comfort working with graphic medical images and clinically complex cases.

Helpful background

Subspecialty fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology is valuable. Peer-reviewed dermatology publications, journal peer review, IRB or research committee service, experience teaching residents or fellows, specialty society involvement, and prior clinical AI evaluation, digital health, or dermatology AI research are also relevant.

Schedule and engagement

This is a fully remote, asynchronous independent contractor engagement with occasional synchronous calls. The project duration is four weeks, with an anticipated average workload of 15 hours per week and up to 40 hours per week during peak batches. Compensation is paid per task, with the amount determined by experience, academic standing, and clinical expertise.

Why work with OpenTrain

OpenTrain gives freelancers one place to manage AI training opportunities instead of rebuilding proof of work on every platform. A stronger OpenTrain profile helps you show credible experience, discover roles that match your skills, and turn AI training and data-labeling work into a long-term portfolio.