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Label StudioTelusNo subject matter listed
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VideoI am a detail-oriented data annotation specialist with hands-on experience supporting AI training data pipelines, particularly for large language models. My background includes reviewing, labeling, and validating datasets to improve model accuracy and reliability, as well as collaborating with AI-driven tools to refine outputs for clarity and factual correctness. I am skilled in prompt engineering, fact-checking, and applying structured guidelines to ensure high-quality data for NLP applications. I have worked on projects involving AI output validation, dataset quality assurance, and research-based content review, consistently maintaining high accuracy standards while adapting to evolving requirements. My strengths include analytical thinking, clear communication, and a passion for continuous learning in the field of human-AI collaboration.
the project entails photo collection, classification and identification in comparison to which bests suits what the project requires to best facilitate the training
Bachelor of Science, Mechanical Engineering
photo annotation
