The opportunity
The Domain Scaling team has the goal to make Claude world-class at real-world knowledge work in domains like finance, healthcare, and legal. This is a unique role that combines executing directly on applied research and data sourcing (real-world and synthetic) to improve our models.
What you'll do
Own the data strategy for knowledge work verticals end-to-end, from task sourcing through RL training
Manage technical relationships with external data vendors, including: evaluation of data quality and reward design
Collaborate with domain experts to design data pipelines and evaluations
Explore novel ways of creating RL envs for high value tasks
Develop and improve QA frameworks to catch reward hacking and ensure env quality
Run generalization experiments to measure how data strategy changes improve model capabilities
What they're looking for
- Partner with other RL research teams and product teams to translate: capability goals into training envs and evals
