AI Data Annotation & Labeling Project (Image & Text AI Training)
This project involved working on AI data training tasks focused on improving the quality of machine learning datasets through accurate data labeling and annotation. The scope included both image and text-based data, requiring consistent application of detailed guidelines across multiple labeling tasks. Specific responsibilities included image annotation using bounding boxes for object detection, categorizing objects within images, and performing text classification tasks such as sentiment analysis and content labeling. I also participated in reviewing previously labeled data to identify errors, correct inconsistencies, and ensure alignment with project guidelines. The project involved working with a large volume of data entries, requiring strong attention to detail and consistency across all annotations. To maintain quality standards, I followed strict labeling instructions, double-checked all outputs, and ensured accuracy through careful review before submission.