Data Collection & AI Training Fundamentals (IBM/Coursera, freeCodeCamp)
Responsible for systematic collection and documentation of structured data as part of AI training workflows. Familiar with quality control, error checking, and meeting technical specifications required for high-accuracy datasets. Gained foundational understanding of how AI training data is labeled and used in machine learning systems. • Collected and organized digital content for structured analysis • Followed established protocols to ensure data labeling accuracy • Performed quality checks prior to submission • Used digital tools to enhance data collection and documentation processes