AI Data Annotation & Model Training Support – Soul AI
Contributed 250+ hours to high-quality data annotation projects involving text classification, sentiment tagging, image labeling, and structured data validation. Worked on training datasets used for improving Large Language Models (LLMs) and computer vision systems. Performed multi-level annotation including intent labeling, entity recognition, contextual verification, and quality assurance. Followed strict data compliance guidelines and maintained high annotation accuracy across diverse AI training tasks. Collaborated with project leads to refine annotation standards and improve dataset consistency for production-level AI systems.