Scale Data Engine

What it does

Scale Data Engine is a data platform from Scale AI for collecting, curating, and annotating training data, then using that data to train and evaluate machine learning models. Its workflow runs as a loop: collect, curate, annotate, train, evaluate, and repeat. Inputs include text, image, video, and 3D sensor fusion data such as LiDAR, and the output is labeled, curated datasets for model development.

Teams typically use it to build training sets with human expert labels, including reinforcement learning from human feedback (RLHF), prompt-response generation, red teaming, and model evaluation for generative AI. The platform focuses on finding and fixing model failures and curating high-value data to control labeling spend. Scale AI's documentation describes combining machine-learning pre-labeling with human review.

It suits ML and generative AI teams that need expert-labeled data at varying scales. Access starts with a demo request, so buyers should expect a sales-led engagement rather than an immediate sign-up, and should confirm pricing, plan terms, and any API access directly with Scale.

What it can do

• Collect and curate training data
• Expert human labeling for text, image, video, and 3D sensor fusion
• RLHF and human preference labeling for model outputs
• Prompt-response pair generation
• Red teaming to find model vulnerabilities
• Model evaluation against complex prompt sets

Example workflows

Generative AI model evaluation

Inputs: a model and a set of complex, diverse prompts. Steps: run prompts against the model, identify weak responses, and categorize failures. Output: a curated set of failure cases and evaluation results.

Human preference labeling for RLHF

Inputs: model outputs for a set of prompts. Steps: have domain experts rank or label outputs by preference, then curate the labeled data. Output: preference-labeled training data for model tuning.

Before you choose

• Pricing and plan details require a sales conversation
• Designed for ML teams with data labeling needs rather than casual end-user use

Listed under

• Data
• Annotation
• Computer vision
• Data labeling
• Enterprise
• LLM
• ML training data

Get started

The product page links to a demo request.

1. Visit the product page and request a demo
2. Define the data types and annotation needs for your project
3. Work with Scale to scope volume and labeling requirements

Contact Scale AI via the demo request for pricing details.

We couldn’t find published prices for Scale Data Engine. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Scale Data Engine | AI Training Data at Scale | Scale AI ↗scale.com
• Getting Started with Scale - Scale Documentation ↗scale.com
• Meet with our team | Scale AI ↗scale.com

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scale.com: product, pricing and policy pages

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knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.