Annotation quality
Agreement measured; low-consensus items routed to adjudication.
Make RLHF gains stick in production
“Your alignment gains decay within a quarter — annotator noise, reward hacking, and distribution shift eat them quietly.”
Production RLHF operations: inter-annotator agreement tracking, reward model evaluation, and drift-aware preference refresh loops.
How we approach it
Reward model evals
The reward model gets its own adversarial test suite.
Preference refresh
Continuous collection wired to promotion gates.
Measured outcomes
Durable
Alignment gains across quarters
Measured
Annotator agreement, not assumed
Related use cases