Scale AI
AI InfrastructureAI data infrastructure for enterprise machine learning teams
About Scale AI
Scale AI is an AI data infrastructure company that provides data labeling, evaluation, and fine-tuning services for machine learning teams. It works with enterprises and government agencies to annotate training data, evaluate model outputs, and align large language models through reinforcement learning from human feedback (RLHF). Scale AI powers AI development at many leading technology companies and defense organizations.
Editorial Assessment
Scale AI is the leading data infrastructure company for AI — providing the human annotation workforce, tooling, and quality management systems that generate the high-quality labeled training data required to build and improve frontier AI models. Founded in 2016 by Alexandr Wang (one of the youngest self-made billionaires in history) and Lucy Guo in San Francisco, Scale AI began by automating the labeling of self-driving car sensor data and has grown into the primary data partner for frontier AI labs including OpenAI, Meta, Microsoft, and US government agencies. The company processes billions of data tasks annually through its distributed workforce of human annotators (Taskers) augmented by its AI-assisted annotation tooling. Scale's platform covers text data labeling, image and video annotation, RLHF (reinforcement learning from human feedback), red teaming for AI safety evaluation, and SEAL (Scale Evaluation and Leaderboard) for model benchmarking. The RLHF business — generating human preference data used to fine-tune models like GPT-4 and LLaMA — became Scale's fastest-growing segment as the AI industry scaled up post-ChatGPT. Scale also operates Scale Government, a division serving US defense and intelligence agencies with AI data infrastructure. Pricing for Scale is entirely enterprise and project-based — there is no self-serve plan, as all engagements involve account management and custom project scoping.
- Primary data infrastructure partner for OpenAI, Meta, Microsoft, and frontier AI labs
- RLHF pipeline for generating human preference data — critical for fine-tuning instruction-following models
- SEAL benchmarking platform for evaluating and comparing frontier model capabilities
- Vast distributed annotation workforce with quality management and inter-annotator agreement metrics
- Scale Government division with US security clearances for defense AI applications
- AI-assisted annotation tooling that combines human judgment with model pre-labeling for efficiency
- 15+ modality support: text, image, video, 3D point cloud, audio, document
- No self-serve pricing — all projects require enterprise sales engagement
- Not suitable for teams with small annotation budgets or one-off labeling needs
- Quality variability in annotation workforce for very specialized domains requires careful QA setup
- Competitors like Appen and Labelbox offer more accessible pricing for smaller annotation budgets
- Regulatory complexity around worker classification for its distributed annotator model
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Not Ideal For
Key Features
Who It's For
Industries Served
Platforms
Support
Founders
- Alexandr Wang
- Lucy Guo
Products & Tools
Enterprise data annotation and RLHF platform for training frontier AI models — covers all modalities with human + AI-assisted labeling.
Scale Evaluation and Leaderboard — independent expert evaluation of frontier AI models across capabilities and safety.
Sources & Verification
- Scale AI WebsiteOfficial Website
- Scale Data EngineOfficial Product Page
Last reviewed September 2026
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Scale AI FAQs
What does Scale AI do?
Scale AI provides the human-labeled training data and model evaluation services that AI companies need to build and improve machine learning models, from data annotation to RLHF for LLM alignment.
Does Scale AI work with LLMs?
Yes, Scale AI provides LLM fine-tuning, preference data collection, safety red-teaming, and evaluation services to enterprise and government customers building on large language models.
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