Data Labelling and Model Evaluation specialist at DataTrust.
Served as a Data Labelling and Model Evaluation specialist, accurately annotating diverse datasets to support AI model training. Performed rigorous model evaluation using quantitative metrics to validate performance. Investigated and corrected data inconsistencies and errors while applying annotation guidelines to improve dataset reliability. • Labeled data for machine learning training (images, text, and audio inferred from resume scope). • Evaluated model performance using metrics such as accuracy, precision, recall, and F1-score. • Identified and resolved data inconsistencies, errors, and potential data biases. • Applied verification and quality assurance practices to ensure labeled data quality.