Data Labeling Specialist (Project-Based) | Atlas Capture
OtherVideoAction Recognition
Performed high-precision dense and atomic action labeling on video datasets for human action recognition AI research. Identified and annotated micro-interactions such as grasping, manipulating, and releasing objects with a focus on temporal accuracy. Ensured consistency and high-quality labels by merging complex video clips and adhering to rigorous protocols. • Supported frontier AI research through detailed hand-object interaction analysis.
• Maintained over 95% accuracy in data labeling tasks.
• Utilized multiple annotation software platforms including Atlas Capture and CloudFactory Portal.
• Managed edge-case identification and complex merging of temporal clips exceeding 10 seconds.
Performed high-precision dense and atomic action labeling on video datasets for human action recognition AI research. Identified and annotated micro-interactions such as grasping, manipulating, and releasing objects with a focus on temporal accuracy. Ensured consistency and high-quality labels by merging complex video clips and adhering to rigorous protocols. • Supported frontier AI research through detailed hand-object interaction analysis. • Maintained over 95% accuracy in data labeling tasks. • Utilized multiple annotation software platforms including Atlas Capture and CloudFactory Portal. • Managed edge-case identification and complex merging of temporal clips exceeding 10 seconds.
Not specified