Data Annotation & Content Quality Review ProjectQ
Reviewed and categorized large volumes of user-generated content across online communities, applying predefined guidelines to identify spam, policy violations, harmful content, and relevant discussions. Maintained consistency and accuracy while processing content, documenting decisions, and supporting quality assurance efforts. Performed data validation, content classification, and information organization tasks that closely align with AI training data workflows. Developed strong skills in pattern recognition, attention to detail, guideline adherence, and quality control while working with text-based datasets and digital platforms. Utilized spreadsheet tools and online research techniques to organize information and ensure data accuracy for reporting and analysis purposes.