Scale AI

AI Data Infrastructure — Powering the World's Leading AI Models

2016
Founded
San Francisco
Headquarters
~1,200
Employees
$14B
Valuation
Culture Overview

What it's really like to work at Scale AI

Founded in 2016 by Alexandr Wang and Lucy Guo out of Y Combinator, Scale AI is the “picks and shovels” of the AI gold rush — building the critical data infrastructure that powers models from OpenAI, Meta, Microsoft, and the US government. The culture is fast-paced and engineering-driven, with a strong emphasis on shipping product and making real-world impact. Expect driven, ambitious coworkers tackling hard problems at the intersection of data and AI.

Eng-Driven Product Impact Learning Ship Fast
Glassdoor Ratings

What employees actually say

3.5
Overall Glassdoor Score
Based on ~400 reviews
Culture & Values 2.9
Compensation & Benefits 3.5
Senior Management 2.8
Career Opportunities 3.6
Work-Life Balance 2.7
Overall Rating 3.5
56% Recommend to a Friend
60% CEO Approval (Alexandr Wang)
Employee Review Themes

The good and the hard parts

✓ What employees love

  • ✓ Building critical AI data infrastructure used by OpenAI, Meta, Microsoft, and the US government
  • ✓ Strong compensation for engineers — competitive base + equity packages
  • ✓ Career growth opportunities in a rapidly expanding market (3.6/5 career rating)
  • ✓ Smart, driven coworkers solving hard problems at the intersection of data and AI
  • ✓ Unique position in the AI ecosystem — the “picks and shovels” of the AI gold rush

✗ What could be better

  • ✗ Work-life balance rated 2.7/5 — long hours are common, especially during client deadlines
  • ✗ Culture and values scored 2.9/5 — some teams report inconsistent management quality
  • ✗ Rapid scaling has led to organizational growing pains and process gaps
  • ✗ Contractor workforce dynamics can create complexity in team structure
Engineering Culture

How the engineering team works

Tech Stack

Python Go TypeScript React

AI Data Platform

AI data annotation platform powering major AI labs. Internal ML models for data quality and automation. Focus on RLHF, data labeling, and model evaluation.

Key Clients

Works with OpenAI, Meta, Microsoft, and the US government. The critical data layer behind the world’s most advanced AI systems. Learn more →

Team Structure

Engineering-driven culture focused on shipping fast and iterating on product. Teams work across data labeling, ML automation, and enterprise deployment.

Open Positions

Join the Scale AI team

Explore featured roles below, or browse all 171 open positions on the full jobs board.

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