AI Dataset Curation — Academic Project
Led the structured curation of a machine learning training dataset, applying consistent labeling and categorization protocols. Collaborated on an academic project requiring high-quality labeled data for model training and evaluation. Utilized annotation best practices to ensure accuracy, consistency, and reliability across all labeled entries. • Applied core principles from AI data training certification. • Ensured all text data was cleanly categorized and ready for downstream model use. • Maintained thorough documentation for dataset structure and labels. • Successfully prepared data for use in academic machine learning experiments.