Multimodal Data Annotation Project – Hugotech AI
LabelboxImageBounding BoxSegmentation
Contributed to a large scale multimodal AI training project focused on improving visual recognition and contextual understanding in generative AI systems. Tasks included image classification, object detection, and video scene labeling using annotation tools such as Appen and Labelbox.
Reviewed over 10,000+ data samples to ensure labeling precision, narrative flow, and adherence to project guidelines. Collaborated with quality assurance teams to validate outputs, maintain consistency across annotations, and improve workflow efficiency. Ensured 99% accuracy by following detailed labeling protocols and verifying all metadata and quality metrics before submission.
Contributed to a large scale multimodal AI training project focused on improving visual recognition and contextual understanding in generative AI systems. Tasks included image classification, object detection, and video scene labeling using annotation tools such as Appen and Labelbox. Reviewed over 10,000+ data samples to ensure labeling precision, narrative flow, and adherence to project guidelines. Collaborated with quality assurance teams to validate outputs, maintain consistency across annotations, and improve workflow efficiency. Ensured 99% accuracy by following detailed labeling protocols and verifying all metadata and quality metrics before submission.
2023 - 2025