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Data Annotation Tech
OneFormaNo subject matter listed
Audio
TextI have experience in AI training data projects, including text-based LLM response quality assessment, voice-based chatbot response assessment, audio transcription, and image data annotation. In these roles, I designed complex prompts to guide LLMs in generating accurate responses, evaluated generated outputs for naturalness, tone, contextual relevance, and localization, and transcribed Korean audio recordings for AI datasets. I also classified images containing cars and people and refined annotations to ensure accurate labeling. As a native Korean speaker fluent in Japanese with professional-level English, I bring strong multilingual capabilities to projects involving language and speech data. Combined with my background in chemistry and biology research and experience in scientific manuscript preparation, I approach AI data annotation with meticulous attention to detail, analytical skills, and a commitment to delivering high-quality datasets for model training.
Performed accurate transcription of Korean spoken audio recordings and contributed to improving the quality of AI training datasets through precise transcription work.
Classified images containing cars and people, and refined annotations to ensure accurate labeling.
Provided voice recordings to voice-based chatbots and reviewed and assessed the generated responses. Evaluated the naturalness of responses, appropriateness of tone and emotion, and localization for target languages and cultural contexts.
Designed complex prompts to guide LLMs in generating accurate responses and evaluated the generated outputs.
Master of Applied Science, Applied Science
Bachelor, Applied Chemistry
Interpreter
Korean Language Tutor
