Dermatologist, U.S. Licensed

United StatesRemoteContractmid

DermatologistHealthcare Clinical

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Quick Summary

Key Responsibilities

Reviewing high-resolution clinical images of skin lesions and identifying dermatological conditions. Describing images with key medical attributes, including lesion color, shape, morphology,

Requirements Summary

Reviewing high-resolution clinical images of skin lesions and identifying dermatological conditions. Describing images with key medical attributes, including lesion color, shape, morphology,

Technical Tools

DermatologistHealthcare Clinical

What We Offer

~1 min read

We're hiring experienced U.S. Dermatologists on behalf of a leading global partner focused on advancing safe, evidence-based healthcare through innovative technology. In this role, you will apply your clinical expertise to a range of image-based projects that help develop and evaluate advanced AI models for dermatology.

This is a non-clinical position — there is no direct patient care. Your work will help ensure model-generated medical outputs align with real-world clinical reasoning and dermatological standards of care.

• Shape the future of AI in dermatology and clinical image interpretation.

• Engage in impactful, non-clinical work that supports global medical innovation.

• Contribute to safe, accurate, and human-centered AI development.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Requirements

~1 min read

• Medical degree (M.D.) with an active, unrestricted U.S. medical license.

• Minimum of 5 years post-residency clinical dermatology experience (practicing or previously practiced).

• Strong ability to identify and describe dermatological conditions using precise medical terminology.

• Prior experience with image annotation or medical education preferred.

• English fluency required.

Responsibilities

~1 min read

Work will vary by project and may include:

→Reviewing high-resolution clinical images of skin lesions and identifying dermatological conditions.
→Describing images with key medical attributes, including lesion color, shape, morphology, and distribution.
→Assessing skin health, severity, or progression from images, and evaluating how well AI-generated assessments hold up clinically.
→Writing clear guidelines and criteria that define what a high-quality dermatological assessment of an image looks like.
→Providing clinical insight to improve model understanding and classification of dermatological presentations.
→Ensuring accuracy, consistency, and adherence to medical and project standards..