Data Annotation & Data Processing Trainee – Digital Divide Data (DDD)
I participated in structured training for large-scale data annotation and labeling projects aimed at supporting machine learning development. My role focused on accurately labeling and validating high-volume image and text datasets while achieving above 98 percent accuracy. I consistently adhered to detailed instructions and quality guidelines to ensure reliable AI training data. • Labeled and validated images and text for machine learning datasets • Utilized Microsoft Excel for data validation and cleaning • Maintained high accuracy and followed annotation protocols • Completed a sprint of 5000+ entries within tight deadlines