Data Annotator & AI Training Contributor
Performed data annotation including text labeling, image classification, bounding box annotation, sentiment tagging, and entity recognition for machine learning datasets. Created high-quality prompt-response pairs for AI language model training and evaluated AI-generated outputs for fluency, accuracy, and logical consistency using RLHF methodologies. Applied Computer Science knowledge to model behavior, annotation schemas, and data quality, ensuring precise, consistent output in a high-volume, remote workflow. • Annotated images and text data for supervised learning pipelines. • Crafted diverse prompts and responses for SFT in language models. • Implemented RLHF annotations and evaluated model outputs methodically. • Adhered to strict quality compliance for large data annotation projects.