Search Relevance and Text Annotation for AI Training
Participated in a high-volume text annotation project for AI and NLP systems, focusing on text classification, intent tagging and content quality rating across high-volume text datasets. Labeled and reviewed thousands of text samples using structured guidelines and laying emphasis to precision, consistency and quality control checks to ensure dependable datasets for machine learning models.