Data Annotation — Soul AI (Remote)
Annotated and cleaned datasets to support AI model understanding and prediction accuracy across multiple data formats. Ensured labeled outputs were consistent, high-quality, and well-structured for downstream modeling. Partnered with QA to verify annotation correctness, completeness, and adherence to guidelines.• Worked on text, image, and conversation data labeling tasks to improve model performance. • Performed quality checks in collaboration with QA reviewers for reliable outputs. • Focused on producing usable labels that improved accuracy of predictions. • Followed structured labeling instructions to maintain dataset consistency.