Remote Dermatology AI Senior Reviewer - Part-Time

OpenTrain AI, Inc.

Northern (KY)

Hybrid

USD 30,000 - 54,000

Full time

4 days ago
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Job summary

OpenTrain AI, Inc. seeks a senior dermatologist reviewer to apply expert clinical judgment to AI evaluation and data curation. You will review complex cases in a longitudinal dataset, help establish evaluation frameworks, resolve disagreements, and provide guideline-aligned commentary and consensus documentation.

Role is remote, asynchronous, averaging 15 hours per week, with up to 40 hours during peak batches. Engagement is pay-per-task and planned for 4 weeks with potential extensions.

Qualifications

  • Must hold a faculty appointment at the Assistant Professor level or above at a US medical school or academic medical center.
  • Board certification in dermatology by the American Board of Dermatology.
  • Active medical license in good standing in at least one US state.
  • Active clinical practice.
  • At least three years since residency completion.
  • Subspecialty fellowship training is beneficial.
  • Peer-reviewed dermatology publications are a plus.
  • Familiarity with current dermatology guidelines and complex medical images.

Responsibilities

  • Lead senior-level clinical review for assigned dermatology case batches.
  • Evaluate complex cases using current dermatology guidelines.
  • Facilitate structured resolution of clinical disagreement.
  • Contribute to clinical evaluation frameworks and reviewer guidance.
  • Document defensible reasoning and consensus.

Education

Board certification in Dermatology
Assistant Professor or higher (US medical school)
Active medical license (US)
Active clinical practice
3+ years since residency
Subspecialty fellowship training
Peer-reviewed dermatology publications
Familiarity with dermatology guidelines and complex images

Job description

OpenTrain AI, Inc. seeks a senior dermatologist reviewer to apply expert clinical judgment to AI evaluation and data curation. You will review complex cases in a longitudinal dataset, help establish evaluation frameworks, resolve disagreements, and provide guideline-aligned commentary and consensus documentation.

Role is remote, asynchronous, averaging 15 hours per week, with up to 40 hours during peak batches. Engagement is pay-per-task and planned for 4 weeks with potential extensions.

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