RL Data & Domain Strategy Engineer

Anthropic; San Francisco (CA); Hybrid; USD 350,000 - 850,000; Full time

Job summary

Anthropic in San Francisco is seeking a professional to drive the data strategy for knowledge work verticals, focusing on reinforcement learning and vendor management. You will enhance our models for industries like finance, healthcare, and legal through innovative data work.

Ideal candidates will have experience fine-tuning large language models and managing technical relationships. The position offers a competitive salary of $350,000 – $850,000 USD, with hybrid policies in place.

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 and iterating quickly on feedback.
• Strong cross-functional collaboration skills.

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 and evaluations.
• Explore ways to create RL environments for high-value tasks.

Skills

Fine-tuning large language models

Reinforcement learning

Technical vendor management

Cross-functional collaboration

Data curation for LLMs

Passion for AI accessibility

Education

Bachelor’s degree or equivalent

Job description

Anthropic in San Francisco is seeking a professional to drive the data strategy for knowledge work verticals, focusing on reinforcement learning and vendor management. You will enhance our models for industries like finance, healthcare, and legal through innovative data work.

Ideal candidates will have experience fine-tuning large language models and managing technical relationships. The position offers a competitive salary of $350,000 – $850,000 USD, with hybrid policies in place.