Software Engineer, Human Data Interface

About Anthropic

Anthropics 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

Anthropics 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 youll 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. Youll 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:

• 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 studythis team sits at the intersection of a large number of different complex technical systems that youll need to understand (at a high level) to be effective

Strong Candidates May Also Have:

• 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

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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 arent 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 encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. 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. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application process