Pauline W.

I am a detail-oriented AI Data Annotation Specialist experienced in supporting machine learning and generative AI projects with high-accuracy labeling, validation, and quality assurance. I understand that clean training data is the foundation of reliable AI systems, and I work carefully to ensure datasets meet strict project standards. work confidently with the following annotation tasks and tools: Annotation Types Image annotation (bounding boxes, classification, tagging) Text annotation (sentiment analysis, entity tagging, intent labeling) LLM response evaluation & ranking Data validation and quality checks Guideline compliance and edge-case flagging AI & Data Skills Machine Learning training data preparation Dataset review and consistency checks Bias detection and annotation accuracy improvement Structured data labeling for model readiness