Research Engineer, Environment Scaling
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.
What this role actually needs.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Responsibilities: - Improve and execute our fine-tuning strategies for adapting Claude to new domains and tasks - 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 environments for high value tasks - Develop and improve QA frameworks to catch reward hacking and ensure environment quality - Partner with other RL research teams and product teams to translate capability goals into training environments and evals Company context: Anthropic is an AI safety company building Claude, a frontier-model assistant for developers, enterprises, and consumers.
Day-to-day expectations
Anthropic lists these responsibilities for the Research Engineer, Environment Scaling role.
- Improve and execute our fine-tuning strategies for adapting Claude to new domains and tasks
- 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 environments for high value tasks
- Develop and improve QA frameworks to catch reward hacking and ensure environment quality
- Partner with other RL research teams and product teams to translate capability goals into training environments and evals
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Source: job-boards.greenhouse.io · Source ID: 4951064008 · Confidence: 97/100 · Last checked: May 7, 2026
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