Qualified contributors
Contributors pass a skills test or trial task before they join a project, so every team starts with people who have shown they can do the work.
Delivery Methodology
How One6 delivers AI data programs
One6 has delivered more than 7,000 hours of contributor work on client AI data projects. Every program follows the same disciplined approach: a written specification, qualified and trained contributors, tracked quality and regular communication with your team.
How programs are run
Project-specific training
Contributors are trained on each project's guidelines before production work begins.
Tracked performance
Each contributor's accuracy and output are tracked throughout the project. Contributors who fall below the quality bar are retrained or removed.
Living guidelines
A written guidelines document is agreed with your team and kept up to date as questions are resolved during delivery.
Regular status updates
Your team receives progress updates by email or on scheduled calls throughout delivery.
Oversight matched to the program
Project oversight is scaled to the size and complexity of each program, from a focused pilot to ongoing production.
The delivery lifecycle
- 01
Specify
Requirements become a written specification and a guidelines document agreed with your team.
- 02
Qualify and train
Contributors pass a qualification test, then train on the project's guidelines.
- 03
Pilot
A small first batch you review before committing to volume.
- 04
Deliver and track
Regular batches with ongoing QA, tracked contributor performance and regular status updates.
Frequently asked questions
How will we know how the project is going?
You receive regular progress updates by email or on scheduled calls throughout delivery.
What happens if a contributor's quality drops?
Each contributor's accuracy and output are tracked throughout the project. Contributors who fall below the quality bar are retrained or removed from the project.
How are the guidelines managed?
A written guidelines document is agreed with your team before work begins and kept up to date as questions are resolved during delivery.
More about the platform
- Project WorkflowWritten specification, pilot review, then delivery in regular batches with ongoing QA.
- Quality SystemWritten guidelines, calibration, gold-standard items, sampling and agreement checks.
- Contributor NetworkDomain experts, native speakers, generalists and voice talent, matched to each project.
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.