Data Labeler
As a Data Labeler at Sama, I consistently labeled and annotated 1,000+ data points daily across image, text, and audio datasets, strictly adhering to guidelines. I accurately reviewed and validated over 500 annotations weekly, contributing to a significant improvement in the quality of the data. My efforts were key in maintaining a 97–99% annotation accuracy rate, showcasing my attention to detail and commitment to high-quality labeled data. • Labeled image, text, and audio datasets as per project specifications. • Ensured strict compliance with detailed annotation guidelines and quality standards. • Increased overall dataset quality by identifying and correcting labeling errors. • Demonstrated consistent high-volume output and reliability in a remote setting.