Follow up the local Quality Assurance operational works, support the operation effect and give optimization suggestions through process improvements.
Working closely with the training team and QA team leaders, gathering issues/blockers and resolving them through advanced process methodology.
Participate in different projects, brainstorming, identify shortcomings or opportunities, give certain suggestions from a process-pro point of view.
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Track quality metrics, root-cause issues, and drive improvements in production processes and execution;
Partner cross-functionally with production, product, algorithm, and policy teams to align on quality standards and connect the "standard → production → acceptance → feedback" loop.
Individuals who are completing or have recently completed a Bachelor's degree in data, statistics, computer science, law, linguistics, or social sciences preferred;
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Proficient in Excel and common data tools; hands-on experience with mainstream LLM products (ChatGPT, Claude, Gemini, etc.) and a basic understanding of AI capability boundaries preferred;
Strong logical thinking with structured problem-decomposition, abstraction, and articulation skills; detail-oriented, with your own point of view on "what makes good data."
Demonstrated ability to interpret and apply complex guidelines or policies in writing-focused workflows, and some experience evaluating qualitative content or using data to improve processes. Internship, research, and project experience all count.
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