AI Data Annotation – Text & Image Labeling (Content Moderation & Classification)
Worked on AI training data annotation projects involving both text and image datasets. For text data, performed classification, sentiment tagging, and content moderation based on predefined guidelines. Ensured accuracy in identifying categories such as spam, offensive content, and intent-based labeling. For image data, completed basic annotation tasks including object classification and bounding box labeling for common objects. Maintained consistency and quality standards as per project requirements. Followed detailed annotation guidelines, met daily productivity targets, and ensured high-quality output through self-review and corrections. Adapted quickly to new labeling tools and workflows. Collaborated with quality review processes and incorporated feedback to improve annotation accuracy over time.