Dermatologist, U.S. Licensed

Modern MedEd

Northern (KY)

Hybrid

USD 68,000 - 114,000

Part time

7 days ago
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Benefits offered by this job

Remote work
Weekly payments
Independent contractor

Job summary

Mercor is seeking experienced U.S. dermatologists for non-clinical, remote work to help develop and evaluate AI dermatology models.

You will review images, describe findings with precise terminology, and write guidelines to improve model outputs. This is an independent contractor role with weekly payments.

Qualifications

  • MD with active, unrestricted US medical license.
  • Minimum of 5 years post-residency dermatology experience.
  • English fluency required.
  • Prior experience with image annotation and clinical education preferred.

Responsibilities

  • Review high-resolution skin lesion images to identify conditions.
  • Describe images with precise medical attributes: color, shape, morphology, distribution.
  • Assess health, severity, or progression from images and AI outputs.
  • Draft guidelines for high-quality dermatological assessments.
  • Provide clinical insight to improve model understanding and classification.
  • Ensure accuracy and adherence to medical/project standards.

Skills

English fluency
Dermatology experience
Medical terminology expertise

Education

MD with active US medical license

Tools

Image annotation experience

Job description

Mercor is 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 anon-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.

Responsibilities

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..
Requirements
  • 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.
Why Join
  • 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.

Contract and Payment Terms
  • You will be engaged as an independent contractor.
  • This is a fully remote role that can be completed on your own schedule.
  • Projects can be extended, shortened, or concluded early depending on needs and performance.
  • Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
  • Payments are weekly on Stripe or Wise based on services rendered.
  • Please note: We are unable to support H1-B or STEM OPT candidates at this time.
About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.

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