AI Training Data Specialist – NLP & Multi-domain Annotation
Worked on large-scale AI training data projects involving both text and image annotation. For text data, performed tasks such as sentiment analysis, intent classification, named entity recognition (NER), and content moderation across diverse datasets including customer reviews, chat logs, and social media content. For image data, conducted classification and tagging tasks to support computer vision models. Handled datasets ranging from thousands to millions of data points, ensuring high accuracy and consistency. Followed detailed annotation guidelines and contributed to their improvement by identifying ambiguities and edge cases. Regularly performed quality assurance checks, peer reviews, and validation tasks to maintain data integrity and meet strict client benchmarks (typically 95%+ accuracy requirements).