Text Annotation for AI Training
Performed text data labeling and annotation tasks for AI training datasets. Classified AI-generated and human-written text using predefined guidelines and decision criteria, including subjectivity, verifiability, ambiguity, and instruction adherence. Reviewed responses for logical coherence, clarity, and factual alignment. Assigned appropriate labels, flagged vague or unsupported content, and provided brief written rationales to justify annotation decisions where required. Maintained consistency and quality across repeated labeling tasks, demonstrating strong attention to detail, rule adherence, and reliability in text-based AI training workflows.