AI/data labeling related training and hands-on dataset preparation (student-focused)
Completed coursework and practice activities focused on preparing AI datasets and validating labeled data for downstream models. Applied attention-to-detail methods to ensure label consistency and accurate transcription of requirements into structured outputs. Used basic programming knowledge to support text-handling and dataset organization tasks. • Followed annotation guidelines for accuracy and consistency • Performed data organization and data entry for labeled datasets • Conducted data validation/quality checks to reduce labeling errors • Prepared material for AI dataset readiness and training use