Ko Eunkyung

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Freelancer Overview

Application Letter for OpenTrain AI Data Labeling Position Dear OpenTrain AI Hiring Team, I am writing to express my strong interest in the AI Data Labeling position with OpenTrain AI. With 1-3 years of hands-on experience in AI training and data annotation, including several months of intensive work on Scale AI's Outlier platform, I have developed a comprehensive skill set that aligns perfectly with the requirements of this role. My background demonstrates not only technical proficiency in data labeling methodologies but also exceptional communication and collaboration abilities that have proven essential to delivering high-quality training data for advanced AI systems. My journey in AI training began with Outlier AI, where I contributed to multiple projects focused on enhancing large language models and generative AI systems. During my time on the platform, I completed diverse tasks including prompt evaluation, response ranking, and quality assessment across various domains. The work required meticulous attention to detail as I analyzed AI-generated outputs, identified inaccuracies, and provided structured feedback to improve model performance. This experience taught me the critical importance of precision in data annotation—understanding that even minor labeling errors can significantly impact AI model accuracy and reliability

Labeling Experience

realtime Audio-Korean

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What distinguished my contributions on Outlier was my active engagement with the platform's collaborative ecosystem. I regularly participated in weekly webinars hosted by Queue Managers, where I learned best practices for prompt quality improvement and received updates on evolving project guidelines. These sessions not only enhanced my technical skills but also fostered a deeper understanding of how human expertise directly shapes AI development. I actively contributed to the Outlier Community platform, engaging in discussions with fellow experts, asking clarifying questions during office hours, and sharing insights that helped team members navigate complex annotation challenges.​

What distinguished my contributions on Outlier was my active engagement with the platform's collaborative ecosystem. I regularly participated in weekly webinars hosted by Queue Managers, where I learned best practices for prompt quality improvement and received updates on evolving project guidelines. These sessions not only enhanced my technical skills but also fostered a deeper understanding of how human expertise directly shapes AI development. I actively contributed to the Outlier Community platform, engaging in discussions with fellow experts, asking clarifying questions during office hours, and sharing insights that helped team members navigate complex annotation challenges.​

2025 - 2025

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