AI Training Data Annotator & Labeler
As an AI Training Data Annotator & Labeler, I worked on preparing datasets for NLP model development by labeling and annotating text for classification, named entity recognition (NER), and sentiment analysis. I provided RLHF preference annotations on AI-generated responses, evaluating outputs for accuracy, helpfulness, and safety. I also contributed to computer vision model pipelines by annotating image-text pairs for multimodal dataset creation. • Labeled and annotated datasets for tasks such as text classification, NER, and sentiment analysis • Delivered RLHF (Reinforcement Learning from Human Feedback) preference annotations for LLMs • Annotated image-text pairs to facilitate vision-language model training • Maintained high labeling accuracy using Label Studio and proprietary tools