Data Labeling – Text Annotation (Xylophone Projects, Outlier)
Contributed to Outlier’s Xylophone Conversation and Xylophone Grassland projects, performing high-quality text data labeling to support AI training. Tasks included entity annotation, intent classification, question answering, and text evaluation based on detailed project guidelines. Ensured accuracy, contextual consistency, and adherence to quality standards while handling large datasets under tight deadlines. Delivered reliable annotations that improved the performance and training efficiency of conversational AI models.