Multimodal AI Data Annotation & Evaluation Project
Worked on multiple AI data annotation and evaluation projects involving text, image, and audio datasets for machine learning model training and validation. Tasks included labeling datasets, classifying content, reviewing AI-generated outputs, and applying structured rubrics to rate response quality, safety, and relevance. Performed transcription and multilingual annotation tasks, ensuring linguistic accuracy and contextual consistency. Supported computer vision projects through object identification and visual content classification. Managed large annotation batches while maintaining high accuracy and strict compliance with project guidelines. Contributed to dataset improvement by identifying inconsistencies, ambiguous labels, and edge cases. Maintained consistent productivity and reliability while working remotely across distributed teams and platforms.