Domain experts
Specialists in engineering, mathematics, medicine, law, research, finance, statistics, physics and other technical fields. Technical material is staffed with experts rather than general annotators.
Contributor Network
A global contributor network, matched to every project
Every AI data project needs different people. One6 draws on a global community of contributors and recruits to match each project's languages, domain and demographics, from domain experts and native speakers to trained generalists and professional voice talent.
Who contributes
Native speakers
Native or near-native speakers of each target language and, where relevant, the specific regional variety, including dialects and natural code-switching.
Trained generalists
Contributors for prompt testing, data validation, content review, moderation and other flexible AI workflows.
Voice talent
Crowd-sourced speakers across accents, ages and regions, and professional voice actors for narration, expressive speech and TTS data.
From application to project
- 01
Apply
Contributors share their location, areas of expertise, skills, experience, languages and work preferences.
- 02
Qualify and match
Contributors pass a skills test or trial task, and are selected for projects based on each project's language, domain and demographic requirements.
- 03
Train
Before production work, contributors receive the project's instructions and terms and are trained on its guidelines.
- 04
Track
Each contributor's accuracy and output are tracked. Contributors who fall below the quality bar are retrained or removed from the project.
Frequently asked questions
Can you staff specific languages or regions?
Yes. Contributors are recruited to match the languages, locales and demographics the project needs. Tell us your requirements and we'll confirm availability and contributor profiles during scoping.
What kinds of experts are available?
We source specialists in fields including engineering, mathematics, medicine, law, research, finance, statistics and physics. Tell us the domain and level of expertise required and we'll confirm the reviewer profile during scoping.
How do you make sure contributors are qualified?
Contributors pass a skills test or trial task before joining a project and are trained on its guidelines before production work. Their accuracy and output are tracked throughout, and anyone who falls below the quality bar is retrained or removed.
Are contributors bound by confidentiality?
Yes. Project materials, client information and instructions are confidential, and contributors may not share them outside the project. Projects can also run under NDA.
More about the platform
- Delivery MethodologyQualified contributors, living guidelines, tracked quality and regular status updates.
- Quality SystemWritten guidelines, calibration, gold-standard items, sampling and agreement checks.
- Trust & SecurityData ownership, confidentiality and contributor consent, agreed before work begins.
Have a data project in mind?
Tell us what your model needs. We'll come back with questions, a proposed approach and a pilot plan.