RL Data & Domain Strategy Engineer

Anthropic; Seattle (WA); Hybrid; USD 350,000 - 850,000; Full time

Job summary

Anthropic in Seattle is seeking a skilled professional for the Domain Scaling team. This role focuses on enhancing AI capabilities in finance, healthcare, and legal domains via reinforcement learning environments. You will manage vendor relationships, design reward signals, and measure model performance.

The ideal candidate has experience fine-tuning large language models and a strong collaboration background. The position offers a competitive salary based on qualifications and experience.

Qualifications

• Experience with fine-tuning large language models for specific domains or real-world use cases.
• Experience with reinforcement learning, reward design, or training data curation for LLMs.
• Comfortable managing technical vendor relationships.
• Strong cross-functional collaboration skills.
• Passion for making AI more useful across industries.

Responsibilities

• Own the data strategy for knowledge work verticals end-to-end.
• Manage technical relationships with external data vendors.
• Collaborate with domain experts to design data pipelines.
• Explore ways of creating RL environments for high-value tasks.
• Develop and improve QA frameworks to ensure quality.
• Run experiments to measure data strategy impacts.
• Partner with RL research teams to align goals with evaluations.

Skills

Fine-tuning large language models

Reinforcement learning

Reward design

Data curation

Cross-functional collaboration

Education

Bachelor’s degree or equivalent

Job description

Anthropic in Seattle is seeking a skilled professional for the Domain Scaling team. This role focuses on enhancing AI capabilities in finance, healthcare, and legal domains via reinforcement learning environments. You will manage vendor relationships, design reward signals, and measure model performance.

The ideal candidate has experience fine-tuning large language models and a strong collaboration background. The position offers a competitive salary based on qualifications and experience.