Research Intern - Data Annotation and Quality Control
I managed large-scale data annotation and quality control for 1 million-row machine learning datasets. My main responsibility was to ensure data integrity for production models through comprehensive annotation oversight and validation. I played a critical role in building robust datasets that form the foundation for accurate AI model training. • Oversaw text data annotation for model training and evaluation. • Implemented quality assurance protocols to maintain high data labeling standards. • Collaborated with machine learning engineers to align annotation guidelines with modeling goals. • Automated components of the annotation workflow to streamline data pipeline efficiency.