Conversational Speech Data Annotation Project
Participated in a conversational speech data labelling project focused on improving AI dialogue systems. Responsibilities included transcribing recorded conversations with high accuracy, tagging speaker intent, identifying speech patterns, and flagging pronunciation or clarity variations. Ensured consistency with annotation guidelines and maintained quality standardsthroughout the process. Collaborated with remote reviewers to refine tagging accuracy and improve dataset reliability for machine learning model training.