The experts your models learn from. Vetted in days.
Doctors, lawyers, engineers, linguists and analysts, tested on real domain tasks before they ever touch your data.
Why it is hard today.
Good training data needs real expertise. Resumes do not prove it, and volumes swing from ten people to a thousand in a month.
Bad evaluators cost you twice: once in pay and again in rework.
Review this model answer on drug interactions. Flag any errors.
How Scrini fixes it.
- 1
Brief it in plain words.
"200 bilingual Spanish medical reviewers, US-based, two weeks."
- 2
Reach the right people.
Agents source across job boards, expert networks and your past contributors, then reach out by call, email, SMS and WhatsApp.
- 3
Test the real work.
Domain quizzes, writing samples and sample annotation tasks, all scored on one rubric.
- 4
Verify who they are.
Identity and liveness checks so the person you tested is the person who works.
- 5
Ship the cohort.
A ranked list with evidence, synced to your tools, ready to onboard.
Roles we fill
- Medical reviewers
- Legal analysts
- Software engineers
- Math and STEM tutors
- Linguists and translators
- Finance analysts
- Safety and red-team evaluators
- Data annotators
Quality you can measure.
Every contributor arrives with a score and the evidence behind it. Re-run the same test on a new cohort and compare like for like.
When a project ends, strong performers stay in your talent pool for the next one.
See the platform in action.
Watch agents take a role from brief to a ranked, verified shortlist.
Your next cohort. Vetted in days.
- Free trial credits
- No card needed
- Live in 48 hours