AI Data Annotator – Yenda Annotation
Annotated and labeled datasets used in AI and machine learning projects according to detailed guidelines and accuracy requirements. Conducted quality reviews to ensure annotation accuracy and consistency across examples. Evaluated and categorized text and data based on project needs and label definitions.• Followed project-specific instructions to apply labels correctly.• Performed QA checks to detect and correct inconsistencies.• Used label guidelines to categorize content and support dataset quality.• Prepared labeled outputs aligned with machine learning training and evaluation goals.