AI data annotation & data quality support (academic projects)
Focused on AI-related data annotation fundamentals through coursework and technical assignment work involving structured and unstructured data. Applied attention to detail and guideline-following practices to support higher data quality for AI training and evaluation. Performed data collection and online research to ensure relevance and consistency in prepared datasets. • Collected and organized data for academic technical assignments • Conducted online research with accuracy and consistency checks • Validated data quality through careful review and guideline adherence • Used spreadsheets/tools to maintain structured, traceable outputs