Engineering Manager, Human Data Interfaces

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 systems designed to collect data that improves our models. This includes developing novel interfaces for data vendors to use including tooling and front-end and back-end infrastructure that enables researchers to gather high-quality data at scale. As a manager youll support a team of engineers to build these systems efficiently support fast iteration on data collection methods and evolve our infrastructure to incorporate new research advances. Youll work with research teams to develop new ways to collect human data and ensure that the data were collecting meets our model training goals.

Responsibilities:

• Prioritize the teams work in collaboration with research teams to support fast iteration on data collection experiments and data quality

• Design processes (e.g. postmortem review incident response on-call rotations) that help the team operate effectively

• Coach and support your reports to understand and pursue their professional growth

• Run the teams recruiting efforts efficiently ensuring we can grow as quickly as we need through a period of rapid growth

• Setting direction for the team

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 an experienced manager (at least 2 years of management experience) and actively enjoy people management

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

• 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

• Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data

Strong Candidates May Also Have:

• Experience building human data labelling interfaces human-in-the-loop systems or data collection pipelines

• 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 people management experience: coaching performance evaluation mentorship career development

• Strong project management skills: prioritization communicating across team/org boundaries

• Experience recruiting for your team: predicting staffing needs designing interview loops evaluating candidates and closing them

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.

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