AI Data Labeling & Annotation Specialist – NLP & Image Data
ImageClassification
Worked on data labeling and annotation tasks for AI model training, focusing on both text and image datasets. Responsibilities included text classification, sentiment analysis, entity tagging, and image annotation using bounding boxes and tagging techniques. Handled datasets ranging from 5,000 to 50,000+ entries while maintaining high consistency and accuracy.
Followed strict annotation guidelines and performed regular quality checks to ensure data reliability. Collaborated with feedback loops to improve labeling standards and reduce inconsistencies. Maintained accuracy levels above 95% by carefully reviewing edge cases and ambiguous data.
Worked on data labeling and annotation tasks for AI model training, focusing on both text and image datasets. Responsibilities included text classification, sentiment analysis, entity tagging, and image annotation using bounding boxes and tagging techniques. Handled datasets ranging from 5,000 to 50,000+ entries while maintaining high consistency and accuracy. Followed strict annotation guidelines and performed regular quality checks to ensure data reliability. Collaborated with feedback loops to improve labeling standards and reduce inconsistencies. Maintained accuracy levels above 95% by carefully reviewing edge cases and ambiguous data.
2025 - 2025