Seoul National University
Bachelor of Arts, Korean Language Education
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I have experience working on AI training and data labeling projects involving text, audio, and multilingual datasets. My work has included evaluating model outputs based on detailed rating rubrics, annotating linguistic nuances, and ensuring consistency across large data batches. I have reviewed conversational AI responses for quality, factual accuracy, tone alignment, and policy compliance, and I am comfortable providing structured feedback that improves model performance. In audio-focused projects, I have assessed call recordings for clarity, intent recognition, and response appropriateness, aligning evaluations with predefined metrics such as exact and adjacent ratings. What sets me apart is my strong bilingual proficiency (Korean–English), analytical precision, and ability to interpret complex guidelines accurately. I pay close attention to subtle linguistic differences, cultural context, and intent alignment, which is particularly important in multilingual AI training. Additionally, my background in structured content review, documentation, and rubric-based evaluation allows me to maintain high inter-rater consistency and deliver reliable, detail-oriented annotations under tight quality standards.
Eunhee Y. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Arts, Korean Language Education
English Instructor
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