Senior Data Labeling & Annotation Lead – Real-Time ML Systems
Led the design and execution of large-scale data labeling and annotation workflows to support the development of real-time machine learning models. Oversaw the annotation of multi-modal datasets including text, images, and structured data, ensuring high accuracy and consistency across all labeling tasks. Developed comprehensive annotation guidelines and trained a team of annotators to perform tasks such as classification, named entity recognition (NER), object detection, and data tagging. Implemented rigorous quality assurance (QA) and validation processes that significantly improved dataset reliability and reduced labeling errors. Collaborated closely with data scientists and engineering teams to align labeled data with model requirements, enabling effective training and deployment of predictive models. The labeled datasets supported key use cases such as customer behavior analysis, product categorization, and operational forecasting, contributing to improved model performance and data-driven decision-making.