AI Data Infrastructure — Powering the World's Leading AI Models
The consensus on Scale AI: Choose Scale AI if you want to build data infrastructure for OpenAI and the US government — but expect long hours and inconsistent management.
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.
AI data annotation platform powering major AI labs. Internal ML models for data quality and automation. Focus on RLHF, data labeling, and model evaluation.
Works with OpenAI, Meta, Microsoft, and the US government. The critical data layer behind the world’s most advanced AI systems. Learn more →
Engineering-driven culture focused on shipping fast and iterating on product. Teams work across data labeling, ML automation, and enterprise deployment.