On freelance AI projects for Micro AI & TELUS AI, I evaluate AI-generated responses against task-specific instructions, rubrics, and quality standards. I compare and rank outputs, identifying factual errors, inconsistencies, and unsupported claims.
I also review AI-generated video and image content for relevance, accuracy, and clarity. My multimodal evaluations assess how visual and video information relates to generated responses or descriptions.
Across these projects, I complete annotation, classification, and quality-review work that supports AI training and evaluation workflows. I provide structured ratings and written feedback, adapting to changing project instructions while maintaining consistency.
Through GCI World 2026 at Matsuo-Iwasawa Laboratory, The University of Tokyo, I’m developing practical skills in Python, data analysis, and machine learning. I’m studying topics including NumPy, Pandas, SQL, data visualization, and model evaluation.
