Video Annotation & AI Training Contractor, Telus International (Remote)
Performed video action labeling, bounding boxes, frame segmentation, timestamping, and scene classification to support multimodal dataset creation and QA. Conducted guideline-aligned QA checks to maintain annotation consistency across samples. Evaluated video+audio model outputs for clarity, accuracy, and visual context, and escalated edge cases to improve taxonomy and model behavior. • Labeled 500+ high-precision video instances with >95% consistency scores on platform QA metrics. • Supported model performance improvements by escalating difficult cases and contributing feedback to taxonomy updates. • Applied structured guideline compliance during annotation and post-annotation QA. • Reviewed multimodal outputs (visual/audio) to assess end-to-end usefulness for downstream tasks.