Staffron searches the open web for proof of expertise, scores every candidate against your rubric and runs outreach until they reply. Our team verifies every name before it reaches you.
Every search runs through the same pipeline. It gets sharper with each run.
| Candidate | Evidence | Reasoning | Formal logic | Availability | Tier | Stage |
|---|---|---|---|---|---|---|
| M. Chen | 3 papers · 2 repos | 9.0/10 | 8.8/10 | Now | A | Handed over |
| L. Moreau | 5 papers · 1 site | 9.2/10 | 8.9/10 | 2 weeks | A | Call booked |
| R. Iyer | 2 papers · 4 repos | 8.7/10 | 9.1/10 | Now | A | Replied |
| J. Okafor | 4 papers · 1 repo | 8.6/10 | 8.4/10 | 2 weeks | A | Replied |
| S. Lindqvist | 1 paper · 3 repos | 7.4/10 | 6.9/10 | Now | B | Scored |
Your brief becomes search signals and a scoring rubric.
Human: we agree what good looks like with you.
The engine searches the open web and matches on full profiles, not titles.
Human: none. This is where the volume comes from.
Every candidate is enriched, deduplicated and scored against the rubric.
Human: we review the scored list and check claims against the evidence.
Sequenced outreach, reply handling, questions, objections and booked calls.
Human: we step in on edge cases and hand over interested candidates.
About 24 hours to a scored list. Interested candidates usually start arriving in 3-4 days.
| Professional profiles | Personal sites | Publications and papers | Wider digital footprint | |
|---|---|---|---|---|
| Hard skills and experience | ||||
| Domain expertise and interests | ||||
| Availability and job status |
Keyword search reads the first column. The engine reads all four.
Every candidate arrives with verified credentials, evidence of depth, and confirmed availability. You evaluate fit, not chase ghosts.
PhD with published work on chain-of-thought reasoning. Has already contributed to two prior RLHF projects.
Published papers, eval frameworks on GitHub, active in math-reasoning communities.
Ready for a first conversation this week.
Strong fit for graduate-level reasoning data and formal-logic eval. Lighter on production ML, but this project won't require it.
Illustrative record. Sample data.
Credentialed contributors for RLHF, SFT, red teaming and evaluation. From a first specialist to a full contributor network.
A white-label top of funnel. The engine runs sourcing, outreach, replies, CVs and qualification. Your recruiters run the calls.
Experts sourced and accepted in a single quarter.
We have sourced for a Bezos-backed AI data company, a $2bn-revenue expert-data marketplace, a $500m AI data lab and specialist recruitment firms across Europe. One step removed, the experts we source post-train and evaluate models at the largest AI labs.
Staffron Labs Kft. · Budapest
We'll run it through the engine and show you who's out there.
Book a demo 30 minutes. Bring your hardest brief.