Related skills
react docker aws python gcp📋 Description
- Build and extend web platforms for RL environment creation, management, and quality review
- Develop vendor-facing interfaces to enable partners to create and iterate training environments
- Design platforms for large-scale human data collection, labeling workflows, QA
- Build dashboards and observability UIs for environment quality and training health
- Create backend services and APIs connecting environment authoring tools, data collection, and RL training
- Build scalable code data pipelines for diverse programming tasks and rewards
- Develop onboarding automation and documentation tooling to ramp vendors and users quickly
- Partner with RL researchers, data ops, and vendor mgmt to translate requirements into usable products
🎯 Requirements
- Strong software engineering fundamentals; comfortable owning from DB schema to frontend
- Proficient in Python and modern web stack (React/TypeScript)
- Track record shipping systems that solved hard problems and boosted team speed
- Operate with high agency and drive work without tickets
- Identify bottlenecks and take action to accelerate delivery
- Care about UX; build intuitive interfaces for researchers and labelers
- Clear communicator; translate vague asks into well-scoped work
- Thrive in fast-moving environments; solve novel problems
- Aligned with Anthropic's mission to build safe, beneficial AI
- Minimum education: Bachelor's degree or equivalent
🎁 Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space
🛃 Visa sponsorship
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