AI Training Data Labeling – Uber AI Solution
Supported data labeling and annotation workflows used for AI model training and improvement. My role involved accurately labeling and reviewing datasets according to predefined guidelines, maintaining annotation consistency and performing quality checks to ensure reliable training data. The project required strong attention to detail, pattern recognition and adherence to labeling standards while working efficiently across structured datasets. Through this work, I developed experience in data annotation, quality assurance, guideline compliance and supporting AI model performance through high-quality training data.