Multilingual AI Data Annotation and Content Evaluation
Contributed to Artificial Intelligence training workflows by performing data labeling and annotation tasks across multilingual datasets. The project focused on improving AI model understanding, response accuracy, and language quality through structured evaluation and annotation processes.