Full-Time

Staff Fullstack Engineer

Updated on 8/1/2026

Surge AI

Surge AI

201-500 employees

Delivers high-quality AI training data

No salary listed

Remote in USA

Remote

Category
Software Engineering (1)
Required Skills
Python
React.js
Ruby on Rails
TypeScript
Reinforcement Learning

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Requirements
  • At least 7 years of experience building and shipping production software.
  • Demonstrated experience leading projects with significant scope and ambiguity.
  • Strong fullstack experience building and maintaining applications using React, TypeScript, and Python or Ruby on Rails.
  • A product-focused approach centered on usability, performance, maintainability, and shipping features that solve real-world problems.
  • Ability to work autonomously and take ownership from idea to production in a small-team environment.
  • Ability to clearly explain technical decisions and trade-offs to other senior engineers.
Responsibilities
  • Design and build core fullstack systems that power Surge’s platform.
  • Own frontend product decisions and backend architecture for high-impact workflows.
  • Build scalable systems for data collection, labeling, and evaluation.
  • Create fast, reliable, and intuitive tools used by leading AI labs.
  • Take ownership from idea to production, iterate quickly, and maintain a high bar for quality.
Desired Qualifications
  • Startup experience, especially as an early-stage engineer or founder.
  • A computer science degree from a top school or equivalent STEM background.

Surge AI provides high-quality training and evaluation data for AI models. It creates human-annotated datasets, preference data, and reinforcement learning from human feedback (RLHF) to help developers of large language models and other machine learning systems improve accuracy, alignment, and real-world performance, especially for advanced generative AI tasks. The company targets the high end of the data labeling market by prioritizing quality, scalability, and the ability to handle complex, model-critical labeling rather than simple commodity annotations. Its goal is to support better-performing, safer, and more reliable AI systems by delivering data that directly feeds model training and evaluation.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2020

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Simplify Jobs

Simplify's Take

What believers are saying

  • OpenAI, Google, Anthropic, and Microsoft are already reported customers.
  • Scale AI’s Meta ties are pushing buyers toward independent vendors.
  • A first external raise can fund brand, hiring, and enterprise expansion.

What critics are saying

  • Scale AI can bundle compute and labeling to squeeze Surge’s pricing.
  • Customer concentration among frontier labs creates outsized revenue shock risk.
  • Quality or confidentiality failures would damage trust for years.

What makes Surge AI unique

  • Surge targets frontier labs with premium RLHF and evaluation workflows.
  • It emphasizes expert annotators for complex, model-critical tasks.
  • The company is reportedly bootstrapped and profitable, unlike Scale AI.

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Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

5%

2 year growth

0%
Surge AI
Jun 8th, 2022
Surgehq launches chatbot labeling tools

Surgehq is releasing new chatbot labeling tools that integrate directly with its data labeling workforce.