Home/How It Works
From requirement to training-ready data
Five steps, in order — this is one of the few places on this site where a sequence actually matters, so it's the one place we number things.
Tell us what you need
Data type, geography, dialect or profession requirements, use case, volume, and quality bar. This is a conversation, not a form you fill in blind — see the project form on the contact page.
We design the project
Task instructions, contributor screening criteria, workflow, and the specific quality rules the review layer will check against — written before recruitment starts, not improvised after.
We build the right workforce
Contributors and, where needed, credentialed experts are recruited against the criteria from step 2 — country, dialect, profession, prior task performance.
Collection & quality assurance
Data is collected, then reviewed against the rubric from step 2. Disagreement and rework are part of this stage, not a sign something went wrong — see quality & methodology for how that's measured.
You receive your dataset
Structured data in the format your pipeline expects, with metadata and a QA report — not just a zip file with no documentation of how it was produced.
Timelines
Project design typically takes days, not weeks, once requirements are clear. Collection timelines depend on volume, contributor availability for the specific profile you need, and review depth — we'll give you a real estimate on the scoping call rather than a generic promise here.