AI Data Annotator & AI Trainer (Independent Practice)
As an independent AI Data Annotator and AI Trainer, I annotated diverse text datasets for NLP training. My work included sentiment classification, intent detection, and named entity recognition, as well as evaluating AI-generated language model outputs. I ensured high annotation quality and consistency by strictly following project guidelines and identifying nuanced edge cases. • Labeled data for sentiment analysis, intent detection, and named entity recognition. • Evaluated AI responses for safety, tone, and helpfulness. • Applied annotation guidelines with attention to details like sarcasm and ambiguous intent. • Used leading platforms like Appen, TELUS AI, Remotasks, OneForma, CVAT, and Labelbox.