Model training support
Human-in-the-loop work that makes models safer and more useful, delivered by a trained and managed team. That includes evaluation work that helps reduce hallucinations in retrieval (RAG) pipelines.
- RLHF and preference ranking
- Model output review and evaluation
- Data annotation and labeling
- Code and AI agent testing
- Reviewer calibration and quality assurance
- Model validation