Primary record

Software Engineer, Human Data Interface

Anthropic Indexed employerSan Francisco, CA | New York City, NY · New York, New York, United States · San Francisco, California, United States
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Workplace

hybrid

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

Anthropic's Human Data Interfaces team builds the systems that collect data to improve our models. This includes novel interfaces for data vendors, tooling, and front-end and back-end infrastructure that enables researchers to gather high-quality data at scale. As a Software Engineer, you'll own the architecture and execution of our data collection pipelines — designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams. You'll work closely with researchers, our cross-functional data operations partners, and the crowdworkers and vendors who use these tools day-to-day.

Responsibilities:

Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability

Think deeply about the experience of the crowdworkers and vendors using these systems, building interfaces that are clear, efficient, and lead to high-quality data

Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods

Partner with our Human Data Operations team to understand the end-to-end data workflow and design interfaces that make their jobs easier

Prioritize and juggle multiple workstreams, making trade-off decisions in a fast-moving environment where research priorities can shift quickly

You May Be a Good Fit If You: </h

Requirements

Department: AI Research & Engineering