Multilingual Text Annotation for NLP Model Training
Contributed to a large-scale multilingual project involving French, Spanish, and English text data for training a natural language processing model. The tasks included annotating and classifying text data, performing Named Entity Recognition (NER), and sentiment analysis to improve the accuracy of the AI model. Maintained high-quality standards by adhering to strict guidelines, ensuring 98% accuracy rates. Delivered annotations for over 10,000 text samples within tight deadlines, showcasing efficiency and attention to detail.