AI Trainer
As an AI Trainer at Handshake, I was responsible for evaluating and benchmarking multimodal AI systems to ensure optimal model performance. I designed and executed comprehensive data annotation tasks across vision and language models, focusing primarily on bounding box annotation, captions, referring expressions, and perception labeling. My role included supporting end-to-end AI training through data curation, transcription, QA, and validation activities. • Evaluated image, text-to-image, and conversational models for ELO-based benchmarking. • Annotated datasets for object detection, contextual reasoning, and image understanding tasks. • Performed data curation, transcription, audio/video validation, and quality assurance across diverse modalities. • Improved model accuracy by ensuring data quality and precise labeling at scale.