AI Training Data Specialist – Computer Vision & NLP Projects
Contributed to large-scale data labeling initiatives supporting both computer vision and natural language processing models. Responsibilities included annotating images for object detection, segmenting medical scans for diagnostic AI, and labeling text datasets for sentiment analysis and intent classification. Designed and implemented quality assurance workflows that reduced labeling errors by 20%, while collaborating with cross-functional teams to refine annotation guidelines. Leveraged tools such as Labelbox, CVAT, and custom Python scripts to streamline the annotation process, ensuring datasets were consistent, scalable, and production-ready. This work directly supported the deployment of AI models in industries ranging from healthcare diagnostics to customer service automation, demonstrating both technical precision and adaptability across domains.