Software Engineer, Human Data Interface San Francisco, CA NY

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.

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  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 crowd workers and vendors who use these tools day‑to‑day.

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

Think deeply about the experience of the crowd workers 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 work streams, making trade‑off decisions in a fast‑moving environment where research priorities can shift quickly

Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well

Are a strong full‑stack engineer with broad experience across the stack

Are very good at building internal tools, including working with users of the tools to understand their needs

Thrive in fast‑moving environments where you need to balance speed of iteration with long‑term system health

Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective

Experience building human data labelling interfaces, human‑in‑the‑loop systems, or data collection pipelines

Familiarity with how preference data and reward models are used in AI model training

Experience working with researchers who are internal users/customers

Background in building, and improving the user‑experience of user‑facing applications, particularly those involving complex UI interactions or annotation workflows

Strong instincts around system design — building things that evolve gracefully as requirements change

Experience influencing technical and product direction on a team

$320,000 - $405,000 USD

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location‑based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

As set forth in Anthropic’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.