Chuo University
Bachelor' in literature, literature
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Since 2021, I have been collaborating with multiple global AI companies on a diverse range of data annotation and AI training projects. My experience spans LLM response evaluation, text writing and rewriting, error discovery, image tagging, speaker labeling, and audio quality assessment. These roles required high linguistic sensitivity, consistency in judgment, and adherence to detailed guidelines, which enabled me to deliver high-accuracy and scalable training data used for model improvement. In addition, since 2025, I have been working with Outlier, OneForma, Appen, and Invisible on projects related to LLM text evaluation and rewriting. Through these experiences, I have gained deep expertise in evaluating complex language data, identifying nuances in tone, accuracy, and fluency, and providing rationales to justify scoring decisions. I also participated in audio transcription and pronunciation evaluation tasks, developing an ear for naturalness and prosody in multilingual data. My strengths lie in my attention to linguistic detail, ability to balance precision and creativity, and commitment to maintaining data integrity under complex task requirements—skills that consistently contribute to high evaluator scores and client satisfaction.
Kazue T. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor' in literature, literature
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