Text and Audio Data Labeling for NLP and Speech AI
Contributed to multilingual AI training projects focused on improving natural language understanding and speech-to-text accuracy. Tasks included text classification, entity tagging, and audio transcription in English. Conducted QA reviews to ensure linguistic, semantic, and cultural precision. Collaborated remotely with annotation and quality teams to maintain consistency across large datasets and deliver high-quality labeled data for NLP model fine-tuning.