<aside> 🧠 Our mission at Surge is to build the human infrastructure to power the next generation of AI.

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Surge was founded by former ML engineers to expand the frontiers of AI. We’re building a platform that powers leading AI groups, including OpenAI, Anthropic, Meta, and Google, by providing high-quality human feedback data to evaluate and train their models. Our product has been a “game-changer” for ML teams, and we’ve run a profitable business from day one without raising venture funding.

You’ll join a small, rapidly growing team of engineering leaders and ML practitioners from Google, Meta, Twitter and Airbnb. In this role, you will help make leading models, like Gemini, Llama2, and Claude, better. You’ll work closely with senior researchers and leaders, at some of the biggest companies in the world, to help shape the future of AI models.

We’ve found the best candidates are experienced doers — people who understand how to think strategically but still get things done — and come from any field — tech, hard sciences, finance, and the arts and music — some without any experience in AI. The characteristics we’ve found most important: being a compelling and interesting writer and communicator, possessing intense self-motivation, and demonstrating an exacting attention to detail.

What You’ll Do

• Work closely with leading AI researchers to find ways to improve their models
• Design and execute data collection projects, including developing interfaces, establishing quality control processes, managing throughput, and delivering data on time
• Communicate with senior executives at leading AI companies and within our team
• Codify data collection systems to make our processes more efficient and scalable

Successful Candidates Have

• A bias to action (people who understand how to think strategically but still get things done).
• Excellent communication skills and the ability to work collaboratively across teams.
• The ability to be driven, tenacious, and scrappy to solve complex problems.
• Strong analytical skills, with a data-driven mindset for decision-making.
• A bias to detail.
• A commitment to making the next generation of AI models safer and more useful. ****

How to Apply

We're looking for smart, motivated people with excellent communication skills and meticulous attention to detail. We created a short case study to help us get to know you better. Once you’ve completed it, please email your results along with a copy of your resume to **[email protected].** We’re excited to see your work!