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Data labelingAvailable

SuperAnnotate

Human data and evaluation pipelines for AI teams

SuperAnnotate is a data platform for creating, curating, annotating, and evaluating multimodal training data. It combines customizable annotation workflows, quality review, managed expert talent, and integrations to support AI model training, fine-tuning, reinforcement learning, RAG evaluation, and agent development.

SUSuperAnnotateProduct screenshot pending
Best for
AI teams building multimodal training datasets
Pricing signal
Not publicly listed
Primary category
Data labeling
Last verified
Jul 30, 2026

The decision

Should SuperAnnotate make your shortlist?

Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.

Strongest fit

Who it is built for

  • AI teams building multimodal training datasets
  • Teams fine-tuning and evaluating large language models
  • Organizations developing RAG systems and AI agents
Practical use cases

Jobs it can take on

  • Create preference datasets for reinforcement learning from human feedback
  • Annotate image, video, text, and audio data for model training
  • Review agent decisions and evaluate RAG system performance
Before you choose

Know the tradeoffs

  • The pricing page does not publish plan prices.
  • The Starter plan includes 1,000 Orchestrate compute hours.
  • SSO, a dedicated Slack channel, and a customer success manager are listed on the Pro plan and above.

Inside the product

What you can actually do with it.

The core product capabilities, grouped around the work they enable.

Multimodal annotation

Customizable editors and annotation forms support image, video, text, and audio datasets.

Data quality workflows

Teams can create multi-layer annotation workflows and expert review cycles to improve data quality.

AI evaluation pipelines

The platform supports human review and model feedback loops for RLHF, RAG evaluation, and agent evaluation.

Typical workflow

Create a project, bring in multimodal data, and configure the annotation or evaluation workflow. Work with internal teams or SuperAnnotate's managed expert workforce, then review quality and feed the resulting datasets into model training, fine-tuning, or evaluation pipelines.

Plans and official links

Plans and accessNot publicly listed.

See the entry price, free access options, company details, and direct vendor destinations in one place.

Choosing for a real workflow?

Make the tool work with the rest of your operation.

We map the workflow, connect existing systems, choose what to buy, and build what is missing.

Discuss your workflow