Dermatology Clinical Image AI Reviewer

About OpenTrain OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts contributors for specialized projects where human expertise helps develop safer, more capable artificial intelligence. You can create a free OpenTrain account, build a profile around your professional experience, discover relevant projects, and apply in minutes. Your work can become part of a lasting portfolio in a fast-growing technology field. Contractor and part-time engagement United States-based opportunity 20+ hours per week Pay: $270 USD per hour About AI Training and Medical Image Review AI training is the human side of building artificial intelligence. Medical specialists help models learn by reviewing examples, evaluating generated outputs, and defining the standards that distinguish accurate, useful responses from unsafe or incomplete ones. In this role, your dermatology expertise will support image-based evaluation and clinical reasoning for advanced medical AI. The work is non-clinical and does not involve direct patient care. Help shape how AI interprets dermatological presentations Apply clinical knowledge to image classification and output evaluation Contribute to safer and more reliable medical AI systems The Role OpenTrain AI is seeking a Dermatology Clinical Image AI Reviewer to assess high-resolution images of skin lesions and review AI-generated dermatology assessments. You will help establish accurate, consistent standards for describing and interpreting dermatological images. The listing identifies this opportunity as entry level, while the required qualifications include a medical degree, an active unrestricted U.S. medical license, and at least five years of post-residency clinical dermatology experience. Subject matter: Dermatology clinical image review Data type: Clinical images Work types: Classification and evaluation rating Language: Fluent English Location: United States What You'll Do You will review clinical images of skin lesions, identify dermatological conditions, and describe visible findings using precise medical terminology. You will also assess whether AI-generated dermatology outputs align with clinical reasoning and accepted standards of care. The role includes developing clear guidance for high-quality image assessments and providing clinical insight that improves model understanding and classification of dermatological presentations. Accuracy, consistency, and adherence to medical and project standards are essential. Identify dermatological conditions from clinical images Describe lesion color, shape, morphology, distribution, severity, and progression Evaluate AI-generated dermatology assessments against clinical reasoning and accepted standards of care Write guidelines and criteria for high-quality dermatological image assessments Provide clinical insight to improve model understanding and classification Maintain accurate, consistent work aligned with medical and project standards Requirements This project requires substantial clinical dermatology expertise and the ability to evaluate medical content from images. Candidates must be able to communicate findings clearly in fluent English and apply consistent clinical judgment to AI-generated assessments. Prior experience with image annotation or medical education is helpful. Familiarity with evaluating clinical content against defined criteria can support accurate and consistent contributions. Medical degree and M.D. credential Active, unrestricted U.S. medical license At least five years of post-residency clinical dermatology experience Strong ability to identify and describe dermatological conditions from clinical images Ability to use precise medical terminology for lesion characteristics Fluent English communication skills Ability to assess clinical image interpretation and explain quality criteria Why Work in AI Training AI training and data-labeling work offers specialists a direct way to influence how emerging systems perform in their field. Medical contributors bring essential expertise that general-purpose models cannot reliably provide on their own. Many AI training projects are flexible and remote, allowing contributors to fit project work around other responsibilities. Specialized knowledge can also open opportunities to contribute to advanced projects at the intersection of professional expertise and technology. Contribute to cutting-edge medical AI development Use your dermatology expertise beyond traditional clinical settings Build experience in a rapidly growing AI training industry Work part time with a 20+ hour weekly commitment #J-18808-Ljbffr OpenTrain AI