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Reno Yegon

Reno Yegon

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Freelancer Overview

I am a detail-oriented professional with proven experience in data annotation, labeling, and quality assurance for AI training data. My work includes handling text, image, audio, and multimodal datasets, consistently delivering 98%+ accuracy by following complex guidelines and maintaining strict confidentiality. I am skilled in LLM evaluation, prompt engineering, RLHF, and red teaming, with a strong commitment to ethical AI practices and safety alignment. My proficiency in English, both written and spoken, ensures high-quality content evaluation and error detection. I am comfortable using tools like Excel, Google Sheets, and quickly adapt to platforms such as Labelbox, CVAT, and SuperAnnotate. With flexible full-time availability and experience managing high-volume, repetitive tasks remotely, I am dedicated to contributing thorough, reliable work to improve AI models and data quality.

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