AI Training Specialist / Data Annotator — Labelbox (2023–December 2025)
Provided large-scale computer vision data annotations in Labelbox for high-density image and video datasets to improve downstream model performance. Maintained pixel-accurate and consistent labels through structured QA and review cycles. Collaborated with ML engineers to iteratively refine labeling guidelines based on observed model edge cases. • Annotated 1000+ high-density image/video data points in Labelbox. • Designed and configured custom labeling interfaces and ontologies to streamline contributor workflows. • Performed rigorous peer reviews and consensus routing to correct inconsistencies and sustain 98%+ accuracy. • Managed diverse dataset formats for CV and NLP training projects, including complex geospatial/medical imagery.