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Label Your Data

Rivendica

Label Your Data provides data annotation for AI and ML teams, with pricing estimates, a free pilot, and managed workflows for computer vision and NLP projects.

Label Your Data preview

What Label Your Data does

Label Your Data is a data annotation company that provides labeled datasets for AI and machine learning projects. The site presents it as a partner for teams working on complex environments, with services spanning image annotation, video annotation, NLP tasks, and other dataset labeling needs.

The company’s public materials emphasize a managed delivery model: clients can estimate pricing with a calculator, run a free pilot, and then move into production with quality assurance, evolving guidelines, and feedback loops built into the workflow. The home page also says the team can work in a client’s preferred annotation platform or use its own setup.

Core capabilities

Pricing calculator and estimate workflow

The service supports cost estimation through an online calculator, letting teams model pricing by application field, annotation method, and label volume before starting a project.

Quality assurance review

The home page describes tailored QA workflows with specialists reviewing outputs for accuracy, consistency, and alignment with project requirements.

Tool-agnostic delivery

The company says it can work within a client’s preferred annotation platform and workflow, or use its own setup, which helps teams avoid changing established processes.

Free pilot validation

The site offers a no-cost pilot so teams can validate workflow, quality, and delivery before moving to production volume.

Distributed operations

The home page states that annotation teams are distributed across regions to keep projects moving across timezones when coverage is needed outside standard working hours.

Multiple annotation types

The pricing page and case studies show support for object-level image tasks and NLP entity labeling, with examples including keypoints, bounding boxes, polygons, cuboids, and entities.

Typical use cases

  • Computer vision training data

    Teams building computer vision models can use the service for object labeling tasks such as bounding boxes, polygons, cuboids, and keypoints, with cost estimates available by annotation type.

  • NLP dataset preparation

    Organizations working on NLP systems can estimate pricing for entity-labeling jobs and use the service to prepare labeled text data for model training.

  • Aerial and remote-sensing annotation

    Groups validating field data or aerial imagery can use the service for remote-sensing-style review and image labeling, as shown in the landfill detection and military drone case studies.

  • Workflow extension for existing teams

    Teams that already have an annotation platform can use the service as a managed labeling partner without changing their current workflow, according to the home page.

  • Pilot-led project validation

    Projects that need to de-risk scope before scaling can start with the no-cost pilot to check quality, turnaround, and annotation requirements before production work begins.

Pros and Cons

Pros

  • Offers a clear way to estimate cost before a project starts.
  • Supports a free pilot to test quality and workflow fit.
  • Publishes QA-oriented workflow details, including review and feedback loops.
  • Can adapt to a client’s existing tool and process.
  • Shows evidence of work across image, video, and NLP annotation scenarios.

Cons

  • The published pages do not provide a complete public list of supported integrations, tooling connectors, or deployment options.
  • Several capability details are described at a high level rather than with a full technical specification, so buyers may need a pilot to confirm fit for a specific workflow.
  • The source does not publish a full pricing table for every annotation type, so custom quotes may still be necessary for many projects.

FAQ

How much does data annotation cost?

Pricing varies by annotation type, data volume, and project complexity. The pricing page says rates start as low as $0.015 per object for keypoint annotations and $0.02 per entity for NLP tasks, and it also offers a cost calculator plus a free pilot for estimation.

What is the hourly rate for annotation work?

For time-based work, the pricing page says the hourly rate is typically $6 per annotator hour. The company describes this as suitable for flexible workflows or ongoing QA assistance.

Can I get a cost estimate before committing?

Yes. The pricing page says you can estimate cost with its calculator or submit sample data for a free pilot project to get a precise quote.

Does the service require a specific annotation tool?

The home page says Label Your Data works with the client’s preferred annotation platform and workflow, or with its own tools, so the setup can adapt to an existing process.

What kinds of data can it annotate?

The source supports image, video, and NLP-related annotation scenarios, but it does not provide a full public list of every supported modality or annotation type on the pages reviewed.

Quick Facts

Category
Data annotation service
Primary users
AI and ML teams
Website
labelyourdata.com
Pricing model
Calculator, free pilot, and custom quotes
Workflow
Client-specific or tool-agnostic annotation delivery
Security note
ISO 27001-certified and GDPR-compliant workflows