Remote Dermatologist AI Diagnostic Evaluator

Appsierra Group

American Samoa

On-site

USD 276,000 - 317,000

Full time

6 days ago
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Job summary

Appsierra Group is seeking experienced dermatologists to participate in a paid evaluation of AI diagnostic tools used in dermatology. This fully remote, independent contractor engagement involves guided reviews of de-identified records and high-resolution skin images to assess AI outputs against dermatology reference standards.

You will provide structured feedback on accuracy and clinical relevance, compare results with benchmarks, and apply your diagnostic expertise to real-world cases.

Qualifications

  • Professional experience diagnosing dermatological conditions.
  • Strong familiarity with dermatological clinical imagery and diagnostic criteria.
  • Ability to evaluate clinical findings against recognized reference standards.
  • Comfortable performing detailed diagnostic reviews using a desktop platform.
  • Ability to provide clear, structured clinical assessments and explain reliability of findings.

Responsibilities

  • Review de-identified clinical records and high-resolution dermatological images.
  • Examine AI-generated diagnostic outputs for individual cases.
  • Assess the clinical accuracy and relevance of AI-generated findings.
  • Compare automated diagnostic results against established dermatological reference benchmarks.
  • Apply your professional knowledge of dermatological diagnosis and clinical imagery.
  • Provide structured, detailed feedback on the reliability and usefulness of the AI-generated diagnoses.

Skills

Dermatology expertise
Clinical imagery interpretation
Diagnostic criteria knowledge
Remote collaboration

Education

Board-certified dermatologist
Dermatology residency

Tools

Remote desktop platform

Job description

Appsierra Group is seeking experienced dermatologists to participate in a paid evaluation of AI diagnostic tools used in dermatology. This fully remote, independent contractor engagement involves guided reviews of de-identified records and high-resolution skin images to assess AI outputs against dermatology reference standards.

You will provide structured feedback on accuracy and clinical relevance, compare results with benchmarks, and apply your diagnostic expertise to real-world cases.

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