AI Operations Engineer

Our mission is to raise AGI with the richness of human intelligence — curious, witty, imaginative, and full of unexpected brilliance.

Surge was founded by engineers and researchers who dreamed of building the next generation of AI. Our platform powers the most capable models in the world, in partnership with the AI models you use every day.

At Surge, we believe the path to AGI isn't just about scaling compute—it's about embracing the unlimited ceiling of human intelligence and creativity in the data that shapes these systems. Our platform combines elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations that go beyond benchmarks. We've run a profitable business from day one without raising venture funding.

As an AI Operations Engineer at Surge, you'll lead initiatives that directly impact our products and our customers. You'll be part of our operations team and collaborate closely with engineering solve our most complex challenges.

This role is ideal for someone earlier in their career — or looking to apply a technical background in a new context — who thrives in rapidly scaling, high-ambiguity environments. You'll spend a meaningful portion of your time designing and building — whether that's data processing pipelines, custom internal tooling, or AI-powered systems that improve how we deliver and evaluate work at scale. You'll also own the end-to-end design and execution of data collection projects for frontier AI labs — defining task structures, building quality frameworks, and shipping datasets that directly improve the world's most advanced models.

• Design and build scalable systems and tooling — including data processing pipelines, automation workflows, and AI-based quality control tools — working closely with engineering to ship solutions to real operational problems.

• Establish and expand scalable processes to enhance customer support and value delivery.

• Drive execution of multiple simultaneous cross-functional projects, setting timelines and managing deadlines.

• Interface with a variety of technical and non-technical stakeholders.
  

• Background in CS, engineering, or another quantitative field preferred.

• Hands-on coding experience (Python or similar) and comfort building tools and systems from scratch — not just scripting, but designing solutions to real operational problems.

• Proven track record of navigating ambiguity and executing complex, cross-functional projects in a high-performing environment.

• Strong interpersonal skills that enable you to influence without authority and build cross-organizational alignment.

• Comfortable working through trade-offs, balancing competing priorities, and having your mind changed.

• Deep interest in AI systems — direct AI/ML experience valued but not required.