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VideoI am an experienced AI data annotator with a strong background in labeling and validating multi-modal datasets, including images, videos, audio, and text, to support machine learning model training. My freelance work with RWS Train AI Community and Innodata has allowed me to execute prompt-based annotation tasks and maintain a high standard of quality, consistently achieving 98% annotation accuracy across projects. I have contributed to projects such as retail bin placement validation for logistics (Nike), where I verified object presence and placement accuracy, and multi-modal data annotation for AI/ML pipelines. I am skilled in data quality validation, classification, and basic prompt engineering, and I am committed to delivering precise and consistent annotations to enhance model reliability and performance.
Contributed in data labelling in text,audio ,video,images and writing simple prompts for data annotations and delivering quality data to the client.
Bachelor of Engineering, Electronics and Communication Engineering
Data annotator
