延安大学
Bachelor of Science, Chemical Engineering and Technology
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Professional Summary (Data Annotation & AI Training Data Experience) With over one year of hands-on experience in high-precision laboratory testing and quality control at Xi’an Kangpaisi Quality Testing Co., Ltd., I have developed strong expertise in accurate data collection, annotation, and validation that directly translates to AI training data preparation. My daily responsibilities include meticulously recording, verifying, and documenting complex testing results for food, environmental, and soil samples while strictly following SOPs and international accreditation standards (CNAS and CMA). I have authored and completed more than 20 detailed method validation reports, ensuring data accuracy, consistency, and compliance — skills that are essential for creating high-quality labeled datasets for machine learning models. Additionally, my participation in the National Third Soil Census and multiple provincial/municipal proficiency testing programs has honed my ability to process large volumes of structured data with rigorous quality assurance. My unique advantage lies in combining a solid scientific background in Chemical Engineering with exceptional attention to detail, analytical thinking, and a proven track record in standardized data workflows. I excel at identifying anomalies, maintaining data integrity, and producing clean, well-documented datasets — competencies that make me highly effective in data annotation and AI training data roles. I am confident my laboratory precision and quality-focused mindset will enable me to deliver reliable, high-quality annotated data that drives robust AI model performance.
Bachelor of Science, Chemical Engineering and Technology
Food and Environmental Testing Specialist