Video/image Annotator
Project Description: AI Model Training and Defect Annotation This project focused on enhancing the accuracy, reliability, and overall performance of artificial intelligence models through structured evaluation and feedback. The primary objective was to support the improvement of AI systems by identifying potential weaknesses in model outputs and providing detailed annotations that could guide model refinement. As part of the project, I reviewed AI-generated responses and carefully analyzed them to detect potential defects such as inaccuracies, inconsistencies, misinterpretations, or responses that did not align with the intended guidelines. Each identified issue was labeled according to established annotation standards to ensure that the development team could easily recognize areas requiring correction or further training. In addition to labeling defects, I provided constructive feedback on the model’performance.