AI Data Annotation & Model Training Specialist (Multi-domain Projects)
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ClassificationWorked on multiple AI training and data labeling projects focused on improving machine learning model performance across NLP and computer vision tasks. Responsibilities included high-accuracy text annotation, sentiment classification, image labeling using bounding boxes, and data categorization for supervised learning pipelines. Collaborated with distributed teams to ensure annotation consistency, quality control, and adherence to project guidelines. Contributed to training datasets used in chatbots, recommendation systems, and computer vision models. Maintained high precision and turnaround time while handling large-scale datasets. Utilized tools such as labeling platforms, Python-based preprocessing scripts, and version control systems (Git) to streamline workflows. Demonstrated strong understanding of model requirements, data quality standards, and annotation best practices.