Graduate Research Assistant/Data Labeling Specialist
I reviewed and analyzed raw data including text, images, audio, and video, applying appropriate labels or annotations according to predefined guidelines for the Digital Twin (DT) technology platform. Collaborated closely with machine learning engineers and project managers to refine data labeling guidelines and improve quality. Performed extensive quality assurance checks on annotated data and provided feedback or corrections as necessary. • Labeled diverse data types for use in machine learning-based Digital Twin systems. • Developed labeling manuals and trained over 20 students in annotation standards. • Maintained confidentiality while working with sensitive or proprietary data sets. • Participated in regular trainings to ensure labeling best practices were followed.