AI data trainer / data annotator (text + image labeling)
Annotated and labeled over 5000 text data points with 99% accuracy, focusing on text and entity-oriented classification tasks. Applied NER-style labeling to support model understanding and downstream performance. Followed detailed annotation guidelines to ensure consistency and reliability across samples. • Labeled entities and categorized text inputs • Maintained high accuracy (99%) on labeled outputs • Applied guideline compliance for consistent annotations • Contributed to training/evaluation readiness for AI models