AI Data Annotation and Prompt Evaluation Experience at Yimian Qianshi
Computer Code Programming
Text GenerationWorked on AI training and data annotation projects at Yimian Qianshi, mainly involving web design-related tasks, prompt evaluation, and question-generation projects. My responsibilities included reviewing task requirements, labeling and organizing useful information, checking whether AI-generated content matched user instructions, and evaluating the accuracy, relevance, and completeness of the outputs. In web design-related projects, I reviewed webpage layouts, functional descriptions, and user needs to help improve the quality of training data. In question-generation tasks, I created practical prompts based on different project scenarios, technical modules, and user perspectives. I also checked whether the generated questions were clear, realistic, and aligned with the required task goals. Through this experience, I became familiar with basic AI data workflows, annotation standards, prompt evaluation methods, and quality control requirements. I followed project guidelines carefully and made sure the submitted results were consistent, understandable, and useful for AI model training.