AI Data Trainer
Data Annotation
07.2026 - Current
- Analyzed AI output for accuracy and compliance prior to submission for review, ensuring adherence to project standards.
- Ensured consistency in annotation guidelines across machine learning tasks to enhance quality and reliability.
- Identified and clarified unclear content, escalating critical questions to project leads to maintain project integrity.
