Data Annotator
At Telus Digital, I conducted video quality comparisons, processed image data, and evaluated user engagement to enhance AI perception and content evaluation models.
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I began my AI career as an Orb Operator for OpenAI’s Worldcoin project, where I managed biometric iris-scanning devices and assisted users with secure World ID registration. This role required strong attention to detail, technical accuracy, and user communication in both English and Korean. After that, I transitioned into AI training data annotation, working with DataAnnotation to create and evaluate prompts for large language models (LLMs). I later joined Telus Digital, where I performed video quality comparison, image data preprocessing, and user-engagement evaluations to help improve AI perception models. My experience combines multimodal data labeling (text, image, and video) with a bilingual skill set and a solid understanding of how humans interact with AI-generated content.
At Telus Digital, I conducted video quality comparisons, processed image data, and evaluated user engagement to enhance AI perception and content evaluation models.
I created Korean-language prompts aligned with the company’s given guidelines to train and evaluate large language models. I also reviewed and compared model responses to determine which outputs showed higher quality and provided written evaluations explaining my reasoning.
I managed biometric iris-scanning devices and assisted users with secure World ID registration. This role required strong attention to detail, technical accuracy, and user communication in both English and Korean.
Bachelor of Arts , Psychological Counseling
B.A. in Business Administration, Business Management
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