At Innodata, I annotated and evaluated data for AI and LLM projects, contributing to iterative improvements in model performance and safety.
I reviewed model-generated responses against safety and relevance guidelines and performed quality checks to identify inconsistencies and refine labeling criteria.
At Claru, I annotated complex video data to support computer vision models, maintaining quality and consistency across video and text labels.
At Remotasks, I annotated datasets for autonomous vehicle perception, including object labels, road-sign text, and driving-related sounds. I also supported customers with technical and account issues at Norton Symantec/Sutherland and Amazon/Sutherland.

