Labeler/Reviewer
The project focuses on designing a practical problem prompt and then evaluating the results produced by two different AI models. Based on this comparison, the outputs are reviewed and revised to achieve better quality and accuracy.
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I am a mathematics expert with a strong background in data labeling and AI training data, particularly in the field of educational content and intelligent systems. My experience includes serving as a labeling expert and auditor for mathematics exercise templates using open-source materials, as well as designing and annotating practical math problems to evaluate AI models. I have participated in scientific research projects focused on quality assurance for autonomous and intelligent systems, where I contributed to modeling environments and refining data-driven solutions. Proficient in Python, C++, and Java, I combine my technical skills with deep mathematical knowledge across calculus, algebra, statistics, and geometry to ensure high-quality, accurate data annotation. My work is driven by a passion for advancing AI applications in software engineering and education.
The project focuses on designing a practical problem prompt and then evaluating the results produced by two different AI models. Based on this comparison, the outputs are reviewed and revised to achieve better quality and accuracy.
Bachelor of Science, Information Technology
Research Member