AI data operations
Human-in-the-loop work that makes models safer and more useful, delivered by a trained and managed team.
- RLHF and preference ranking
- Model output review and evaluation
- Data annotation and labeling
- Code and AI agent testing
- Reviewer calibration and quality assurance