AI Data Annotator at Transsion Holdings (Lagos State)
Worked as an AI Data Annotator to evaluate and improve the quality of NLP documents used for an AI voice assistance product. Focused on ensuring annotated outputs meet quality and accuracy requirements through careful review and correction of errors. Performed labeling tasks by categorizing and annotating content with relevant metadata to support downstream AI performance.• Evaluation of NLP documents to improve AI voice assistance quality.• Categorization of content based on relevant labels.• Labeling data including transcription- and sentiment-related text tasks (e.g., tagging, identifying entities, marking boundaries).• Reviewing annotations and correcting mislabeled items and typos.