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 Research team is looking for a Data Operations Manager to help us level up our human data operations and accelerate our ability to develop models. This person will work across all operational aspects of human data management, including scoping, coordinating, procuring and managing projects and deliverables, ensuring that human data collection operations are running smoothly and that the data collected has high utility, quality, diversity, and volume. They will build and maintain strong relationships with our Human Feedback (HF) resources and optimize how we do this work on an ongoing basis.

Responsibilities:

Scope, coordinate, and procure data collection and labeling projects and identify and capitalize on opportunities to make them more efficient.
Monitor ongoing projects to make sure that resources are directed appropriately, adjusting scope and instructions with new information.
Develop and maintain strong relationships with external vendors and contractors, ensuring that our work together is high-value and low-friction.
Execute on human data projects, doing activities such as writing labeling instructions, reviewing data, and making sure we have the right mix of quality, diversity, and volume of data, as well as figuring out how to improve the tooling or instructions to make things more efficient.
Report out on projects, including dashboards and data analysis.
Partner with Engineering to maintain and improve our human feedback interface.
Develop and support the operations for an in-house team of human data workers.

You might be a good fit for this role if you:

Are extremely detail-oriented and enjoy poring over information and data line-by-line.
Have exceptional project and relationship management skills, with both internal and external parties.
Have a strong understanding of how LLMs work and of prompt engineering.
Have experience with data collection, labeling, and analysis.
Have experience using tools like SQL, Python, Tableau, etc.

It is particularly valuable if you:

Have experience with human data collection and labeling specific to large language models.
Have managed a team of external contractors and/or vendors before.
Have conceived of and launched new technical programs.
Have worked with researchers and engineers.

The expected salary range for this position is:

Annual Salary:

$220,000—$365,000 USD

Logistics

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 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 you're interested in this work. We think AI systems like the ones we're 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 we're 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. We're 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.

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