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One6

Started by one,
Built for millions.

One6 delivers human data for AI teams — training data collection, annotation, multilingual data and expert evaluation — through a global community of contributors.

A Growing Global Network of AI Contributors.

One Dream

A world where AI creates opportunities for everyone.

Built by People

A global community of contributors and dreamers.

Growing Together

More projects. More impact. More opportunities.

One Million Goal

Our mission is bold. Our purpose is bigger.

Our story

The meaning behind One6

Learn more about One6 →
1

One Dream

It all started with a single vision: creating opportunities through AI.

The founder behind One6

Every movement begins with one person who believes change is possible.

1,000,000

One Million Opportunities

Together, we’re building a future where AI creates opportunities for people everywhere.

Our ambition

Today

Supporting ambitious AI companies

↓

Tomorrow

Becoming the trusted human data infrastructure behind the world’s leading AI organizations.

  • AI research labs
  • Generative AI startups
  • Enterprise AI teams
  • Speech & language AI
What we provide

Human data infrastructure for AI that learns and scales.

High-quality human data across all formats and modalities to train, evaluate and improve AI models at every stage.

Data Collection

Collect high-quality voice, image, video, text, and custom datasets to power AI model training and evaluation.

Domain Experts

Access specialized professionals in engineering, mathematics, medicine, law, research, finance, statistics, physics, and other technical fields.

Multilingual Talent

Work with native speakers across global languages to support translation, transcription, localization, evaluation, and culturally accurate AI.

Generalists

Scalable contributors for prompt testing, data validation, content review, moderation, and other flexible AI workflows.

Data Annotation & Labeling

Comprehensive annotation services including computer vision, image segmentation, bounding boxes, text labeling, audio annotation, and classification.

Voice Acting

Professional voice talent delivering natural recordings, conversational speech, emotional expression, narration, accents, and multilingual voice datasets.

Explore all services →

Human data flowing into layered AI systems

Who we work with

Whoever is training, funding, or regulating a model.

AI startups

Pilot-fast datasets to get an early model off the ground, without building a labeling team first.

Enterprises

Domain-specific data collected under NDA, with the volume and consistency production models need.

Government

Documented, agreement-based data programs for public-sector AI teams.

Explore industries →

How it works

From specification to delivery

Every engagement follows the same pilot-first path, so you review real output before committing to volume.

  1. 01

    Scope

    A short call to understand your model, data requirements, quality bar and timeline. We reply to every inquiry with questions, a proposed approach and a pilot plan.

  2. 02

    Specify

    We turn your requirements into a written specification. For custom collection, we design the protocol with you before the first contributor starts.

  3. 03

    Pilot

    A small first batch so you can review real output, and the quality results, before committing to volume.

  4. 04

    Scale

    Once the pilot meets the agreed bar, we staff up and deliver in regular batches with ongoing QA.

7,000+

hours of contributor work delivered on client AI data projects

Every program follows the same disciplined approach: a written specification, qualified and trained contributors, tracked quality and regular status updates. Our delivery methodology →

Quality

Quality built into every step

  • Written guidelines. Agreed with your team before the pilot.
  • Reviewer calibration. Shared examples against your rubric before production.
  • Gold-standard items. Known answers used to measure accuracy.
  • Agreement monitoring. Tracked between annotators throughout the project.
Our quality system →
Trust

Your data, on your terms

  • Data ownership. Defined in the project agreement before work begins.
  • Confidentiality. Projects can run under NDA; contributors keep materials confidential.
  • Contributor consent. Agreed for recorded data before collection begins.
Trust & security →
Our mission

AI should create opportunities, not take them

We build the data that powers tomorrow’s intelligence with today’s human potential.

AI Gets Smarter

Every contribution improves AI models, making them more accurate, capable, and reliable.

Businesses Build Better Products

Companies use high-quality datasets to build AI products that solve real-world problems.

More Opportunities Are Created

As AI adoption grows, it creates meaningful work and new opportunities for people worldwide.

People Grow & Earn

Contributors gain experience, earn income, and become part of a global AI community.

The World Moves Forward

When people, businesses, and AI grow together, everyone benefits from a smarter future.

Two Sides, One Mission

Who we work with

01 - FOR BUILDERS

Human Data for Enterprise AI

Collect, create, annotate, and evaluate human data with a screened global contributor network that scales with each project.

  • Human data across voice, text, images, video, code, and reasoning
  • Layered quality review: gold-standard items, sampling and agreement checks
  • Flexible teams that scale with your AI projects
02 - FOR CONTRIBUTORS

Join the People Powering the Future of AI

Join a global community completing meaningful AI projects while earning on your own schedule.

  • Work remotely from anywhere
  • Projects matched to your skills
  • Flexible work with competitive pay
Our community

A global community creating opportunities together

Book a 20-minute call and we'll scope your first pilot.

Book a scoping call →
FAQ

Questions AI teams ask

How does a project with One6 start?

With a short scoping call, a written specification and a small pilot. You review real output before committing to volume, and we only scale once the pilot meets the agreed bar.

How is quality measured?

Quality checks are agreed upfront and typically combine gold-standard examples, reviewer sampling and agreement between annotators. You see the results during the pilot.

Who owns the data?

Data ownership and usage rights are defined in the project agreement before collection begins. Projects can run under NDA.

Which languages do you support?

Coverage depends on the project's language and dialect requirements. Tell us the languages you need and we'll confirm availability and contributor profiles during scoping.

Do you work in our tools or yours?

Either. We can work inside the platform your team already uses or propose tooling during scoping. The choice is confirmed before the pilot.

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Help us create one million opportunities

Whether you’re building AI or building your future, there’s a place for you in this journey.

A path leading to opportunity