Data Annotation – Dermatology

Data Annotation: Annotate and label dermatology-related datasets according to established guidelines.

Quality Assurance: Ensure accuracy and consistency of annotated data.

Collaboration: Work with data scientists and engineers to understand data requirements for machine learning models.

Progress Monitoring: Track and report annotation progress and performance metrics.

Tool Development: Contribute to the development and improvement of annotation tools and processes.