During my internship as an AI Data Analyst at CloudFactory, I worked on data labeling and training data preparation proj
During my internship as an AI Data Analyst at CloudFactory, I worked on data labeling and training data preparation projects that supported machine learning models in computer vision, natural language processing (NLP), and predictive analytics. My responsibilities included curating, cleaning, annotating, and validating large datasets to ensure they met strict quality standards for AI training. I performed detailed quality assurance reviews, identified labeling inconsistencies, and collaborated with cross-functional teams to improve dataset accuracy and reliability. Additionally, I participated in human-in-the-loop validation processes, where I reviewed model outputs, detected inference errors, and provided feedback to improve model performance. I maintained data validation trackers, monitored dataset throughput against service-level agreements (SLAs), and applied analytical techniques to resolve data quality issues. This experience strengthened my understanding of the AI development lifecycle and the critical role that high-quality labeled data plays in building accurate and scalable machine learning systems.