👁️ AI Vision AI Data Labeling Paid

Scale AI

Enterprise data platform for AI — labeled training data, model evaluation, and RLHF for frontier AI teams.

#data-labeling#training-data#enterprise#model-evaluation#computer-vision

Last updated:

Visit Scale AI ← Back to Directory

Scale AI is a data infrastructure company that supplies the labeled training data and evaluation services behind many production AI systems. It began by annotating images and sensor data for self-driving cars and has since expanded into text, RLHF, and model evaluation for large language models. Its customers have included leading AI labs and enterprises, along with US government and defense programs — Scale positions itself as the “data foundry” for frontier AI. In 2025 Meta took a large stake in the company and its founder Alexandr Wang joined Meta, reshaping some of those lab relationships.

The core offering is high-quality human-plus-AI annotation at scale: bounding boxes, segmentation, and 3D LiDAR labels for computer vision; instruction and preference data for LLM fine-tuning and alignment; and structured evaluation and red-teaming to benchmark model behavior. Compared with self-serve labeling tools or crowdsourcing, Scale sells a managed, enterprise-grade pipeline with quality controls, security, and program management rather than a DIY platform.

Key Features

  • Image, video, and LiDAR annotation for computer vision and autonomy
  • Text and instruction-data labeling for LLM training
  • RLHF and preference data for model alignment
  • Model evaluation, benchmarking, and red-teaming services
  • Data engine combining expert annotators with model-assisted labeling
  • Enterprise-grade security, compliance, and program management

Pricing

  • Enterprise: Custom pricing based on data type, volume, and program scope — quoted per engagement, no public self-serve tier

Best For

Enterprises, autonomous-vehicle programs, frontier AI labs, and government agencies that need large volumes of high-quality, reliably labeled data and rigorous model evaluation to build and improve production systems.

Limitations

Scale is built for large, funded programs — there’s no transparent or self-serve pricing, and it’s overkill for small teams that just need a few thousand images labeled, where tools like Labelbox, Roboflow, or crowdsourcing fit better. Its dependence on large human annotation workforces has also drawn scrutiny over quality control and labor practices.

More AI Vision Tools