Dataloop for Human Reviewers

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Annotate any data type more efficiently with the power of AI. Stay in sync with the rest of the AI development process.
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Outstanding AI applications
start with Dataloop

Use templates of popular workflows from our Marketplace
or build completely from scratch.

Validating GenAI with RLHF/RLAIF

Use pre-built Reinforcement Learning workflows with human and AI feedback nodes. Facilitate RLHF for GenAI at scale by allowing human feedback to be an inherent part of your operations, without the overhead.


Data curation, cleaning, versioning and management tools you can depend on. Dataloop pre-processes every single piece of unstructured data for easy retrieval and filtering, allowing quick & easy data selection.

Building a GenAI Stack

Create single- or multi-modal AI applications, work with hundreds of datasets, chose any model you need to and replace them at will – all on the only truly-complete platform for GenAI development.

Bulding RAG workflows

Run the nodes of every single pipeline across multiple different types of compute – including all major clouds, on-premise, other model compute suppliers like NVIDIA or Dataloop’s own compute offering.

Get the tools you need

Dataloop offers a dedicated set of capabilities for
Human Reviewers to do their best work.

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One place to manage annotations

Dataloop’s Annotation Studio combines the capabilities you need to support any annotation request.

  • Annotation studio lets you manage all of your annotation
assignments in one place, regardless of data type.
  • Purpose-built to support annotations of unstructured data, such as video, images, PDFs, and more.
  • Quality and validation tools enable feedback assignment and annotation issue tracking.
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Work better with AI

Dataloop isn’t just about finishing tasks to create AI; It gives you AI tools to expedite and improve the quality of your annotation work.

  • Pre-label data with models so you can audit and fix labels, rather than manually labelling every object.
  • Smart object tracking, identification, and parenting save time by helping you annotate faster.
  • AI Annotation Assistant automatically converts 4 single points into multi-vertices polygons.
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Communication made easy

Spend less time dealing with the logistics of owning multiple data pipelines, and get back to building great AI applications.

  • Integrated collaboration features let you communicate with others as part of the annotation process.
  • Recipes provide easy to understand pre-written instructions 
for non-technical members to understand requirements.
  • Project Management features allows everyone to know 
what their assignment is at all times.
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Build on a solid foundation

Develop AI applications at the speed of market demand



Dataloop is an AI development platform designed to empower data practitioners to collaborate and build exceptional AI solutions. It comes pre-packed with models, functions, datasets, and integrations with popular cloud platforms, ensuring you can hit the ground running when developing your AI applications.

Dataloop is an all-in-one solution, eliminating the need for multiple tools or cloud services to deliver complete, robust AI applications. Furthermore, Dataloop prioritizes RLHF, Active Learning, and other human-in-the-loop workflows, offering dedicated, state-of-the-art annotation studios for human reviewers to excel.

Dataloop offers a large Marketplace of models, datasets, pre-built workflow templates and more, and is highly-integrated with a variety of cloud platforms, data tools and more.

Read more about why Dataloop is a great choice for you in our dedicated page for Data Engineers.

Dataloop helps automate processes crucial to AI development, such as model training, human feedback (for RLHF and Active Learning) and more, and lets you focus on training your models instead of platform setup and configuration.

Read more about why Dataloop is a great choice for you in our dedicated page for Data Scientist.

In Dataloop, every piece of the pipeline can be created, modified and deleted using an API call, and our robust Python SDK allows for complete code-level control on the data pipelines you rely on to build your AI applications.

Read more about why Dataloop is a great choice for you in our dedicated page for Software Engineers.

Dataloop allow teams to focus on building AI applications, and not platform maintenance – while still allowing for complicated, human-in-the-loop flows and without compromising on quality or the speed of delivery.

Read more about why Dataloop is a great choice for you in our dedicated page for Data & AI Leaders.

To get started with Dataloop, you can talk to one of our AI experts.

At Dataloop, privacy and security are our top priorities. We adhere to leading industry standards and are dedicated to ensuring the security of your data with comprehensive governance throughout the entire platform. More specifically, Dataloop is compliant with SOC 2 Type II, GDPR, ISO 27001 and ISO 27701, and offers RBAC, 2-factor authentication, AES-256 encryption and ongoing tracking of all system resources and actions that occur within the platform.

You can read more about our security controls in our dedicated security resource.