AI Data Annotation and Content Labeling Specialist
Worked on AI training and data labeling projects focused on improving machine learning model accuracy for social media and digital content platforms. Responsibilities included annotating and classifying large volumes of text data, identifying sentiment, categorizing user-generated content, detecting harmful or inappropriate material, and ensuring labeling consistency according to project guidelines. Performed quality assurance checks, corrected annotation errors, and maintained high accuracy standards while meeting strict deadlines. Handled datasets containing conversations, short-form content, captions, comments, and engagement-related text for AI model training and moderation systems. Followed detailed annotation instructions, maintained data confidentiality, and consistently achieved high-quality review scores through attention to detail and accuracy.