Content Analyst – Data Labeling & Annotation for AI Training
As a Content Analyst for Turing, I maintained a 99% accuracy rating while labeling complex multi-modal datasets for Vision Language Action (VLA) model training. My work included structured annotation of robotic, egocentric, and gameplay video data and generating Chain of Thought (CoT) reasoning samples to strengthen AI logic. I also validated and annotated thousands of timestamped actions and standardized annotation protocols across international teams. • Created and quality-checked 200+ structured reasoning samples for AI models. • Labeled and classified robotic, egocentric, and gameplay video for action recognition. • Developed instructional videos for style-based AI creator tasks. • Ensured strict dataset integrity and adherence to project documentation.