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DocumentWell suited for text-focused AI training, including legal document review, compliance annotation, and rubric-based quality evaluation.
Evaluation of AI-generated responses for reasoning consistency, contextual accuracy, and linguistic naturalness in Korean. Identified reasoning gaps and suggested revisions to improve output quality.
Evaluation of Korean AI-generated outputs for linguistic accuracy, contextual relevance, and guideline compliance. Reviewed responses to ensure natural language quality and alignment with AI training guidelines.
Performed structured error tagging and categorization of AI-generated Korean responses. Applied detailed labeling guidelines to identify intent mismatch, tone issues, and policy-related errors, contributing to high-quality labeled datasets for supervised model training.
Corrected and normalized ASR-generated transcripts using NAVER CLOVA Note. Performed speaker segmentation, text correction, and transcript QA to improve linguistic accuracy and prepare speech recognition datasets.
LL.B. (Bachelor of Laws), Law
Bachelor of Laws, Law
Operations & Data Process Lead
Head of HR
