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ImageI am a detail-oriented QA evaluator and AI annotator with a strong background in English-language content review, quality assurance, and guideline-driven evaluation. My experience includes assessing AI-generated text for clarity, accuracy, and relevance, as well as providing clear, well-reasoned written feedback to improve model performance. I have worked independently on structured annotation tasks, consistently applying rubrics, identifying errors and edge cases, and ensuring high standards of quality and consistency. With additional experience in web development and education, I bring strong analytical skills, accuracy, and a commitment to clear communication—making me well-suited for data labeling, content evaluation, and AI training data roles.
Video and image evaluation, assessing short clips or screenshots and label specific features that help improve AI models. The work requires attention to detail and steady focus.
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