Data Annotation
Conducted a document data collection and labeling project focused on reviewing and interpreting diverse document types to support AI training pipelines. Responsibilities included annotating and categorizing textual content, extracting key information from structured and unstructured documents, and applying consistent labeling schemas to ensure high quality training data. Maintained strict adherence to quality control guidelines throughout the project lifecycle, contributing to a scalable and accurate dataset for downstream NLP and document understanding models.