Anthropic’s Human Data Interfaces team builds systems that collect data to improve our models, including novel interfaces for data vendors, tooling, and front‑end/back‑end infrastructure. As a Software Engineer, you will own the architecture and execution of data collection pipelines, designing systems that are both performant at scale and resilient to the rapidly changing needs of research teams. You will collaborate closely with researchers, data operations partners, and crowdworkers and vendors to create clear, efficient interfaces and iterate quickly on collection methods.
Software Engineer, Human Data Interface at Anthropic
Hybrid - San Francisco, CA; New York City, NY
More jobs at AnthropicSalary
USD 320,000 - 405,000
Requirements
Skills
- Strong full‑stack engineering experience across the stack
- Experience building internal tools and understanding user needs
- Ability to work fast‑moving environments balancing speed and system health
- Quick learning and adaptability to complex technical systems
- Experience building human data labeling interfaces or human‑in‑the‑loop systems
- Familiarity with preference data and reward models in AI training
- Experience working with researchers as internal users/customers
- Background in improving user‑experience of complex UI interactions or annotation workflows
- Strong instincts around system design and evolution
- Experience influencing technical and product direction
Responsibilities
- Architect and build data collection pipelines that support rapid iteration while balancing data quality and system maintainability
- Design interfaces for crowdworkers and vendors that are clear, efficient, and produce high‑quality data
- Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods
- Partner with the Human Data Operations team to understand the end‑to‑end data workflow and design interfaces that simplify their work
- Prioritize and juggle multiple workstreams, making trade‑off decisions in a fast‑moving environment where research priorities can shift quickly
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