Software Engineer, Human Data Interface

About this role

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2><strong>About the Role</strong></h2> <p>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.</p> <h2 class="heading"><strong>Responsibilities:</strong></h2> <ul> <li> <p>Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability</p> </li> <li> <p>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</p> </li> <li> <p>Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods</p> </li> <li> <p>Partner with our Human Data Operations team to understand the end-to-end data workflow and design interfaces that make their jobs easier</p> </li> <li> <p>Prioritize and juggle multiple workstreams, making trade-off decisions in a fast-moving environment where research priorities can shift quickly</p> </li> </ul> <h2 class="heading"><strong>You May Be a Good Fit If You:</strong></h2> <ul> <li> <p>Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well</p> </li> <li> <p>Are a strong full-stack engineer with broad experience across the stack</p> </li> <li> <p>Are very good at building internal tools, including working with users of the tools to understand their needs</p> </li> <li> <p>Thrive in fast-moving environments where you need to balance speed of iteration with long-term system health</p> </li> <li> <p>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</p> </li> </ul> <h2 class="heading"><strong>Strong Candidates May Also Have:</strong></h2> <ul> <li> <p>Experience building human data labelling interfaces, human-in-the-loop systems, or data collection pipelines</p> </li> <li> <p>Familiarity with how preference data and reward models are used in AI model training</p> </li> <li> <p>Experience working with researchers who are internal users/customers </p> </li> <li> <p>Background in building, and improving the user-experience of user-facing applications, particularly those involving complex UI interactions or annotation workflows</p> </li> <li> <p>Strong instincts around system design — building things that evolve gracefully as requirements change</p> </li> <li> <p>Experience influencing technical and product direction on a team</p> </li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below. </p> <p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$320,000</span><span class="divider">—</span><span>$405,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study: </strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p> <p><strong>Location-based hybrid policy:</strong> 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.</p> <p><strong data-stringify-type="bold">Visa sponsorship:</strong> 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…