Tiger Xue is an AI Audio/Video Trainer based in Katy, Texas, with 11 years of technical experience bridging hands-on engineering and machine learning data work. At Mercor he evaluates and ranks large volumes of multimodal outputs to improve model alignment and supports preference-based reinforcement learning pipelines. His background in mechanical engineering and research—designing additively manufactured tooling and developing G-code workflows—gives him practical skills in CAD, fabrication, and automation that inform his analytic approach to AI data. He has experience applying systematic comparative judgment, high-throughput annotation, and actionable feedback loops across cross-functional teams. On GitHub he explores web crawling, data mining, machine learning, cryptanalysis, and map projection—signals of a curiosity-driven engineer who blends signal processing instincts with data engineering. Comfortable moving between lab, production, and annotation systems, he focuses on building reliable datasets and tooling that make multimodal models more usable.
11 years of coding experience
3 years of employment as a software developer
High School Diploma General Studies, High School Diploma General Studies at Mont Kiara International School
The University of Utah
Bachelor of Science - BS Mechanical Engineering, Bachelor of Science - BS Mechanical Engineering at University of Houston-Clear Lake
Contributions:19 commits, 3 PRs, 18 pushes in 5 years 11 months
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