Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the…
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Making AI work since 2016
Full company description
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Safety, Evaluations, and Alignment Lab (SEAL), we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust.
Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
LinkedIn followers
330,829
People associated on LinkedIn
6,080
Reported office locations
303 2nd St, South Tower, 5th FL, San Francisco, California 94107, US
Business categories
Artificial Intelligence
Generative AI
SaaS
Data Collection and Labeling
Artificial Intelligence (AI)
Image Recognition
AI Infrastructure
Machine Learning
Other recorded names
Scale AI
Specialties
Computer Vision
Data Annotation
Sensor Fusion
Machine Learning
Autonomous Driving
APIs
Ground Truth Data
Training Data
Deep Learning
Robotics
Drones
NLP
and Document Processing
Profile identifies a recruitment agency
No
Reported total investment
15,902,620,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Software Development
Size
501-1,000 employees
Headquarters
San Francisco, California
Organization type
Privately Held
Year founded
2016
Specialties
Computer VisionData AnnotationSensor FusionMachine LearningAutonomous DrivingAPIsGround Truth DataTraining DataDeep LearningRobotics
Scale AI has 4 open jobs in Canada as of November 6, 2026.
Scale AI: The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets.
Candidates need a PhD or equivalent research record in computer science, machine learning, statistics, mathematics or a related field. They must be able to run technical safety research with high-level guidance, communicate clearly, and handle confidential information responsibly.
Scale AI: The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets.
5+ YOECandidates need 5 or more years of software engineering or related technical experience, or equivalent academic expertise such as a PhD or postdoctoral research in computer science. They must show strong coding skills in Python, Java, Rust, Swift, JavaScript or C++, and must be authorized to work in Canada.
Scale AI: The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets.
Candidates need deep domain expertise in a specialized field such as medicine, law or engineering, strong analytical skills, and high attention to detail. Quality assurance or auditing experience is preferred.
Process improvement, Team leadership, Performance management, Analytical skills, Quality assurance, Auditing
Scale AI: The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets.
Candidates need a PhD or postdoctoral research experience in machine learning, computer science or a related field, or senior industry experience in ML. Strong Python skills and experience with PyTorch or TensorFlow are required, and AWS, Docker and LangChain are a plus.