Remote AI Data Annotation Part-time
I performed large-scale NLP text annotation projects involving sentiment analysis, named entity recognition, and text classification across a variety of domains. My responsibilities included ensuring high annotation accuracy above 96%, efficiently handling more than 10,000 annotation tasks, and adapting to quickly changing guideline requirements. Additionally, I was responsible for data cleaning, deduplication, error correction, and batch formatting to improve the quality of over 50,000 text data entries for AI model training. • Executed diverse annotation tasks including sentiment, entity recognition, and classification. • Maintained a stable annotation accuracy exceeding 96%, with no violations or rework records. • Processed and cleaned over 50,000 text data entries for model readiness. • Efficiently met platform requirements and consistently received high-quality evaluations.