Data Annotation Specialist, Scale Lab AI
I annotated large-scale multi-modal datasets consisting of text, image, audio, and video data for natural language processing and computer vision applications. Precise labeling was performed across multiple data types using strict guidelines and standardized procedures. Diverse annotation techniques such as intent labeling, bounding boxes, polygons, key points, and transcription were applied to optimize data quality and downstream model performance. • Managed high-volume annotation projects requiring accuracy and consistency. • Utilized internal/proprietary tools to ensure adherence to project guidelines. • Collaborated with QA and data science teams to refine labeling schemas. • Provided feedback to help improve annotation workflows and user interfaces.