NLP / Data Annotator
In this role, I evaluated the alignment between images and text prompts for NLP model training purposes. My work centered on comparing image pairs to determine which best represented the intended meaning, while following shifting annotation guidelines. Clear documentation and content flagging were crucial to maintaining high-quality model outputs. • Applied annotation instructions to large, varied datasets. • Flagged factually incorrect, ambiguous, or sensitive content. • Maintained consistency and met/exceeded productivity and quality benchmarks. • Clearly documented reasoning for review and quality assurance.