About
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 AI. We're building a platform that powers the most powerful models in the world in partnership with companies like OpenAI, Anthropic, Meta, and Google.
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.
The Role
Surge is seeking professors from top ranking institutions to help train the world’s greatest models. As an elite contributor from higher education, you’ll bring deep academic insight, research rigor, and conceptual clarity to these datasets. You’ll help transform raw model behavior into structured, teachable insights — writing, reviewing, and refining complex reasoning examples that reflect how experts think, argue, and communicate.
You will be shaping the model’s intellectual DNA, and working with other esteemed groups of Ivy League professors, researchers, and academics who share this mission. This is a role for someone who thrives on analytical precision, enjoys unpacking nuance, and finds satisfaction in translating scholarly judgment into clear, generalizable examples that raise the bar for machine reasoning.
What we’re Looking for
- Academic Excellence – Current or former professor at a top-ranking institution or Ivy League university (preferred), with demonstrated expertise and published research in your field
- Scholarly Depth – Advanced domain knowledge in your academic field and the ability to explain complex concepts to an intelligent general audience
- Analytical Writing Skill – Comfort producing tightly reasoned, well-structured content that models high-level reasoning and conceptual synthesis
- Commitment to Precision – A methodical, detail-oriented approach to annotation, critique, and quality review in a data-centric workflow
Work You Might Do
- Reviewing or rewriting model responses to ensure they reflect sound argumentation, conceptual clarity, and academic rigor
- Drafting prompts and exemplar answers that illustrate expert reasoning or interdisciplinary synthesis
- Conducting comparative evaluations of model outputs — identifying subtle reasoning flaws, gaps in evidence, or conceptual overreach
- Collaborating with Surge researchers to design datasets that capture authentic, expert-level cognitive patterns
How to Apply
Please email talent@surgehq.ai with your background and interest in collaborating with Surge. Please include the name of the role you’re applying for in the subject line or email body. We welcome personal projects and writings!
Current or former professor at a top-ranking institution or Ivy League university preferred, with published research and advanced domain knowledge; strong analytical writing and commitment to precision.
Key Responsibilities
- reviewing model responses
- drafting examples
- conducting evaluations
Job Details
- Category: Education services
- Seniority: No Prior Experience Required
- Commitment: Contract
- Workplace: Remote — United States
- Languages: English
About Surge AI
A platform that combines elite human expertise with cutting-edge tools to train AI models. — Industry: Information Technology