Object Annotation
Responsible for the frame-by-frame annotation and tracking of dynamic objects in video datasets to train computer vision models. The work involved maintaining strict temporal consistency across frames and executing specialized labeling tasks, such as 'Video Color Picker', to accurately classify visual attributes over time. Delivered high-quality ground-truth data essential for improving video recognition and generative AI video models.