Data annotation
Annotated and labeled diverse datasets (text, images, and metadata) using predefined taxonomies to support machine learning model training Performed content classification, sentiment analysis, and entity tagging with high accuracy and consistency Reviewed and validated labeled data to ensure quality standards and reduce model bias Collaborated with remote teams using tools like Slack, Google Sheets, and annotation platforms to meet project deadlines Applied attention to detail and analytical thinking to interpret ambiguous data and follow complex guidelines Maintained data confidentiality and adhered to ethical AI practices