AI Training & Data Annotation Specialist : NLP & Conversational AI
I worked as a data labeling and AI training specialist focused on improving the performance and contextual understanding of conversational AI systems. My responsibilities included annotating large volumes of text data, refining language outputs, and evaluating AI responses for accuracy, relevance, and clarity. I performed tasks such as intent classification, sentiment labeling, response evaluation, and contextual data annotation to help models better understand human language nuances. I also reviewed edge cases, corrected inconsistencies in labeled datasets, and ensured high-quality annotation standards were consistently maintained. Additionally, I collaborated with quality teams and followed strict annotation guidelines to improve dataset reliability. My contributions helped enhance model response accuracy, reduce ambiguity in outputs, and support the development of more human-like AI interactions.