University of Beijing
Bachelor's Degree, Computer Science & Engineering
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With over 3 years’ experience in AI training data annotation and evaluation, having completed over 15,000 annotation tasks, covering RLHF positive/negative scoring, LLM quality assessment, code review annotation and image annotation. Maintains 96% consistency in RLHF evaluations and achieves 98% expert-level agreement in code review annotation. Possesses a strong technical background and is well-versed in model evaluation methodologies, having led the development of over 5,000 LLM evaluation datasets. Proficient in using platforms such as Label Studio, CVAT and Argilla, with daily output exceeding the industry average by 40%. Bilingual in Chinese and English, with a strong focus on quality and timeliness.
Bachelor's Degree, Computer Science & Engineering
Senior Full-Stack Engineer & LLM Evaluation Specialist