Search Result Evacuation
Performed multilingual search quality and web relevance evaluations, rating query-document alignment and intent satisfaction.
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I’m an experienced AI Data Labeling and Quality Reviewer with 2+ years of hands-on experience in data annotation, linguistic evaluation, and AI training tasks. I’ve contributed to multiple global NLP and multimodal projects, specializing in English–Korean translation, search relevance evaluation, and audio data collection. My background in linguistics and information science, combined with strong attention to detail, allows me to produce consistently accurate and high-quality data for machine learning and LLM fine-tuning.
Performed multilingual search quality and web relevance evaluations, rating query-document alignment and intent satisfaction.
Conducted advertisement and search result relevance evaluations for Meta (Facebook) Ads, focusing on semantic alignment, user intent matching, and cross-language contextual accuracy.
Participated in large-scale video translation and evaluation projects (EN↔KO), including transcription, translation accuracy assessment, and quality alignment with linguistic guidelines. Also contributed to audio recording and text-to-speech prompt datasets for speech recognition and synthesis training.
Reviewed and validated AI-generated text data, ensuring naturalness, accuracy, and contextual appropriateness for Korean-language LLM fine-tuning.
Course Completed , ESL
Study, AICOL
AI data
LLM