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Translation/LocalizationOver the past few years, I have developed hands-on experience working with AI-assisted tools in a creative and professional capacity, particularly within brand identity and visual design workflows. Through my work at Detuchi, I have regularly evaluated AI-generated outputs — assessing quality, relevance, and accuracy — which has sharpened my ability to identify what makes a model response useful versus flawed. This kind of critical evaluation is closely aligned with the judgment required in data labeling and annotation tasks. While my background is rooted in design, I have built a strong foundation in working with structured data, providing feedback on outputs, and understanding how context shapes the quality of AI responses. I am deeply familiar with prompting, iterating on AI outputs, and recognizing edge cases — skills that translate directly into data labeling, RLHF (Reinforcement Learning from Human Feedback), and quality assurance roles. I am eager to formalize this experience within a dedicated AI data analysis function and bring my detail-oriented, quality-first mindset to the role.
I have worked with AI tools like ChatGpt, gemini, kimi, Claude, deepseek and many other tools. While promoting them to create various things and also scrutinising works like written documents.
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As the founder of Detuchi, a brand and visual design studio, I regularly evaluate and refine AI-assisted outputs against
