
Data Annotation Specialist focused on NER across 7–10 entity types, sentiment analysis, and intent labeling for AI training data. Delivers consistent classification across customer feedback, social content, and support-related text while following strict annotation rules. Strengthens dataset quality by validating labels, spotting edge cases, and keeping outputs reliable for model training.
Microsoft Office Suite
Microsoft Word
Microsoft Excel
Google Docs
Google Sheets
Data Annotation and Data Labeling
Text and Intent Classification
Sentiment Analysis
Named Entity Recognition (NER)
Research and Information Analysis
Content Moderation
Search Quality Rating and Evaluation
Chatbot Response Assessment
Data Review and Validation
Annotation Guideline Compliance