Data Annotation Specialist
As a Data Annotation Specialist, I labeled and reviewed large datasets containing text and image data for an AI company. My work maintained over 98% quality scores by following detailed internal guidelines and using industry-standard annotation tools. Responsibilities included tagging, classifying, organizing data, and correcting flagged data to improve AI model training outputs. • Consistently met daily and weekly accuracy targets while working with repetitive annotation tasks. • Used Label Studio, internal annotation platforms, and Google Sheets to track labeling progress and ensure consistency. • Reduced inconsistencies by 25% through thorough review and correction of flagged data segments. • Improved overall dataset quality to facilitate optimal model development.