Dermatology Life Science Domain Expert

OpenTrain AI, Inc.; United States; Hybrid; USD 89,000 - 179,000; Full time

Job summary

OpenTrain AI, Inc. is seeking senior clinical reviewers to provide expert judgment on complex dermatology cases within a longitudinal clinical dataset. You will lead reviews, resolve disagreements, and document consensus while contributing to AI model evaluation frameworks and clinically defensible conclusions.

The role is remote and asynchronous, paid per task with 20+ hours weekly. Requires dermatologist board certification, active US license, and an Assistant Professor level academic

Qualifications

• Board certification in Dermatology (US).
• Active medical license in at least one US state.
• Faculty appointment at Assistant Professor level or higher.
• At least three years post-residency.
• Clinical practice ongoing and active.

Responsibilities

• Lead reviews of complex or ambiguous dermatology cases.
• Resolve disagreements among clinical reviewers and document consensus.
• Help develop clinical evaluation frameworks for AI outputs.
• Write guideline-aligned clinical commentary and defensible conclusions.
• Advise review teams and communicate with peer faculty reviewers.
• Work with graphic medical images and complex material.

Skills

Strong written clinical reasoning

Lead and document consensus

Familiarity with dermatology guidance

IRB or research committee service

Teaching residents or fellows

Clinical AI evaluation

Digital health

Dermatology publications

Education

American Board of Dermatology certification

Active medical license in at least one US state

Assistant Professor level faculty appointment

3+ years post-residency

Tools

Clinical AI evaluation experience

Job description

The work

You will provide senior clinical review for complex dermatology cases in a longitudinal clinical dataset. Your work will support data curation and evaluation of AI models through careful judgment, structured documentation, and subspecialty expertise.

• Lead reviews of complex or ambiguous dermatology cases.
• Resolve disagreements among clinical reviewers and document the consensus.
• Help develop clinical evaluation frameworks for AI model outputs.
• Write guideline-aligned clinical commentary and clinically defensible conclusions.
• Advise review teams, communicate with peer faculty reviewers, and follow project protocols.
• Work with graphic medical images and clinically complex material.

What it pays and takes

Compensation is paid per task and is determined by experience, academic standing, and clinical expertise. This is a remote, asynchronous independent contractor engagement with occasional synchronous calls.

• Pay: Paid per task; the amount depends on experience, academic standing, and clinical expertise.
• Hours: 20+ hours per week.
• Location: Open to candidates in the United States.
• Language: Fluent in English.
• Education: Faculty appointment at the Assistant Professor level or above at an accredited US medical school or academic medical center.
• Credentials: American Board of Dermatology certification, at least three years post-residency, an active clinical practice, and an active medical license in good standing in at least one US state.
• Skills: Strong written clinical reasoning, the ability to lead and document clinical consensus, and familiarity with current dermatology guidelines.
• Helpful background: Fellowship training in dermatopathology, Mohs or procedural dermatology, pediatric dermatology, or complex medical dermatology.
• Helpful experience: Dermatology publications, journal peer review, IRB or research committee service, teaching residents or fellows, clinical AI evaluation, digital health, dermatology AI research, or work with dermatology specialty societies.

About AI training work

AI training is the human work behind systems that learn from examples and expert feedback. Experienced professionals are paid to review difficult material, explain their reasoning, and help make model outputs more accurate and useful.