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Freelancer Overview
I am an experienced AI Quality Analyst and Multimodal Data Specialist with over three years supporting machine learning projects through high-accuracy data annotation, quality auditing, and dataset validation across image, video, audio, and text modalities. My work includes executing detailed bounding box and polygon segmentation, temporal event tagging, speech transcription, and intent classification for computer vision and NLP applications. I have consistently maintained QA accuracy benchmarks of 95–98%, reduced annotation errors through structured feedback, and improved inter-annotator agreement in distributed remote teams. My strong analytical background, advanced pattern recognition skills, and ability to develop standardized QA workflows ensure that the training data I deliver is reliable, consistent, and ready for robust AI model development.