AI Intelligent Data Training Project — AI Data Annotation Trainee
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Bounding BoxServed as an AI data annotation trainee focused on producing and optimizing training datasets for AI model iterative learning. Performed standardized annotation workflows on large-scale image and text training data while ensuring data quality through rigorous preprocessing. Applied precise labeling operations to support high-precision model training and dataset readiness. • Sorted and screened massive image/text data to remove unsuitable samples • Eliminated blurry, duplicate, incomplete, invalid, or non-compliant records to purify sources • Conducted precise target bounding box selection and boundary fine-tuning per platform standards • Performed content classification and accurate label matching aligned with official precision requirements