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Data Annotation
for AI Companies

Build AI systems for complex environments with Smart Annotahub, a data annotation partner delivering the highest-quality AI data at scale.

How We Work with AI Teams

The Smart Annotahub annotation team

Custom Quality Assurance

We build tailored QA workflows for every data annotation project. Our expert reviewers audit outputs to guarantee accuracy, consistency, and strict alignment with your exact requirements.

Tool-Agnostic Workflows

We adapt to your ecosystem. Bring your preferred annotation platform or leverage our provided tools for seamless integration into your existing processes.

Uncompromising Data Security

We enforce strict confidentiality protocols and source exclusively from legally compliant providers. Every dataset we create or annotate is fully secured and optimized for AI model development.

Flexible Engagement Models

Scale your resources with zero vendor lock-in. Choose a pricing structure that fits your operational needs—hourly, per-object, per-task, or flat-rate project pricing.

Risk-Free Pilot Programs

Validate our annotation quality, turnaround times, and workflow fit at no cost before committing to production volumes.

Global Time Zone Coverage

Accelerate your development cycle. Our globally distributed teams keep your projects moving forward well beyond standard business hours.

Reviews

“Fast, Accurate Data Annotation with Clear Communication”

★★★★★

“Their flexibility and ability to move fast impress us.”

We chose Smart Annotahub for its strong value, recommendation, and shared company values. Their 10-person team delivered accurate data annotation with a flexible, collaborative approach. They responded quickly, went the extra mile to meet deadlines, and kept the project on track. We’ve been very pleased with the experience and have no improvements to suggest at this time.

Tatsuya Ishihara
Project Manager
★★★★★

“They’re always willing to adapt quickly to our needs and help keep the project on track.”

The team is highly responsive and flexible, quickly adapting to our needs to keep the project on track. Clear, detailed annotation guidelines help them deliver accurate results faster.

Park Ji-Ho
Director
★★★★★

“Communication with the team is smooth, clear, and effortless.”

We chose Smart Annotahub for its expertise, openness to new ideas, and strong interest in autonomous vehicles. Their team provides consistent cuboid and polygon annotation for our growing image dataset, with responsive communication, attentive project management, and reliable quality assurance. We’re very pleased with the collaboration and look forward to continuing our work together.

Matthew Milner
Director of Engineering

Why AI Teams Choose Smart Annotahub

Handle Complex Datasets

Get consistent annotation for detailed taxonomies, edge cases, and challenging data.

Build Quality Into Every Step

We combine onboarding, clear and evolving guidelines, quality assurance, and continuous feedback.

Flexible and Scale On Your Terms

Adjust team capacity, project size, and delivery model as your needs change, with no setup fees or long-term lock-ins.

Integrate From Day One

Align on goals, workflows, and expectations with a team that fits into your process.

Work with Annotation Experts

Our team includes former annotators who understand annotation complexity, quality standards, and high-volume delivery.

Meet the Team

Find out about the people behind our data annotation company.

Illustrated portraits of the Smart Annotahub team
100+
Teammates
Learn more

Doan Duc Hoang

CEO/FOUNDER

Smart Annotahub is directed by an experienced operations manager from the outsourcing industry. Under this management, the company has grown across regions.

Illustrated portrait of Doan Duc Hoang

Gary

COO/CO-FOUNDER

Our delivery lead has spent over a decade in annotation operations and has taught the company how to hold the highest quality bar on every project.

Illustrated portrait of Gary

Request a pilot

Tell us more about your project and data



    We evaluated several data annotation providers through pilot projects and chose Smart Annotahub for its easy onboarding, responsive communication, and efficient workflow. Their team quickly learned our AI-assisted labeling tool and requirements, then delivered tasks on time and within budget.

    We built a large dataset for several machine learning use cases, helping improve our models and benefit our users. The team was professional, considerate, and easy to work with. There’s room to strengthen the review of occasional labeling errors, but overall, the quality met our needs.

    Senior ML Engineer
    Jeremy Lawson

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    FAQs

    How fast can you deliver annotated data?

    Turnaround depends on your dataset’s size and complexity. Most pilots are completed within a few days. For production work, we agree on a delivery schedule in advance, with quality assurance built into the workflow. Contact us for an estimate based on your data and project requirements.

    Who will annotate my data?

    A dedicated Smart Annotahub team will annotate your data using your guidelines and taxonomy. An experienced project manager leads the team, and consistent annotator assignments help build familiarity with your project over time.

    How do I start a data annotation project with you?

    Share a data sample and your task requirements. We’ll run a free pilot and send the annotated results for review. Once you approve the approach, we’ll provide the proposed scope, timeline, and pricing before production begins.

    Can you handle large-scale annotation projects?

    Yes. We can scale from a small group of annotators to larger, multi-shift teams across regions. Our quality assurance process helps maintain consistent labels as project volume grows.

    Do you support custom annotation workflows?

    Yes. We can work in your annotation platform or ours, follow your review stages and export formats, and update guidelines as your data and model requirements evolve.

    What is Smart Annotahub?

    Smart Annotahub is a data annotation company that prepares labeled datasets for machine learning and AI. Our team can add labels, transcriptions, and other metadata to images, text, audio, and video, helping teams create training data for their models.