AI Data Labelling Specialist
As an AI Data Labelling Specialist, I annotated, classified, and validated large-scale training datasets for machine learning models. My work encompassed the labeling of text, image, audio, and video data, with a particular focus on applying guidelines for high-quality annotation. Rigorous review and adherence to accuracy standards ensured the consistency and reliability of training data. • Supported sentiment analysis, object detection, and named entity recognition on multi-modal datasets. • Utilized Atlas Capture, Label Studio, CVAT, Scale AI, and Appen to enhance annotation efficiency. • Collaborated with QA teams on inter-annotator agreement and discrepancy resolution. • Consistently maintained annotation accuracy above project benchmarks.