Dermatologist, U.S. Licensed

Mercor; United States; Remote; USD 138,000 - 207,000; Full time

Benefits offered by this job

Fully remote

Job summary

Mercor is hiring experienced U.S. Dermatologists for a fully remote, non-clinical role that supports safe AI dermatology outputs. Your work will review high‑resolution skin images and help align model assessments with real-world standards.

Requirements include an MD with an active U.S. license, at least five years post‑residency dermatology experience, and English fluency. Prior image annotation or medical education experience is preferred. Compensation is paid weekly through Stripe or Wise.

Qualifications

• MD with active, unrestricted U.S. medical license.
• Minimum of 5 years post-residency dermatology experience.
• Ability to identify skin conditions and describe them precisely.

Responsibilities

• Review high-resolution clinical images of skin lesions and identify dermatological conditions.
• Describe images with key medical attributes such as color, shape, morphology, and distribution.
• Assess skin health, severity, or progression from images and validate AI assessments clinically.
• Write guidelines defining high-quality dermatological image assessments.
• Provide clinical insight to improve model understanding and classification.
• Ensure accuracy and adherence to medical and project standards.

Skills

Dermatology expertise

Medical terminology

English fluency

Education

MD degree (medical doctor)

Tools

Image annotation experience

Job description

Mercor is hiring experienced U.S. Dermatologistson behalf of a leading global partner focused on advancing safe, evidence-based healthcare through innovative technology.

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

• 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 anactive, unrestricted U.S. medical license.
• Minimum of5 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.