DATA ANNOTATOR
OtherImageBounding BoxEvaluation Rating
This project involved large-scale data labeling and annotation to support machine learning model training and evaluation. The scope of work included accurately labeling datasets according to predefined guidelines, ensuring consistency and high-quality outputs across all tasks. Specific tasks performed included image and text annotation, classification, tagging, and validation of labeled data. The project covered a substantial dataset, requiring attention to detail, adherence to annotation standards, and timely completion of assigned workloads. Quality measures such as multi-stage reviews, spot checks, and compliance with annotation guidelines were strictly followed to ensure accuracy, reliability, and data integrity.
This project involved large-scale data labeling and annotation to support machine learning model training and evaluation. The scope of work included accurately labeling datasets according to predefined guidelines, ensuring consistency and high-quality outputs across all tasks. Specific tasks performed included image and text annotation, classification, tagging, and validation of labeled data. The project covered a substantial dataset, requiring attention to detail, adherence to annotation standards, and timely completion of assigned workloads. Quality measures such as multi-stage reviews, spot checks, and compliance with annotation guidelines were strictly followed to ensure accuracy, reliability, and data integrity.
2025 - 2025