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Students are already training frontier AI.

Sovrano AI staffs RLHF, red-teaming and model-evaluation work with university-verified European talent. For employers, it is the plainest evidence available of what early talent can do in the AI era.

Employers and AI teams book a call. Students and graduates sign up on Sovrano.

More graduates, fewer entry points.

CareerOS was built to get students placed at the companies they dream of. Then AI arrived, and those same companies began scaling down junior hiring or removing the roles outright. A degree is still worth having. It has simply stopped answering the question employers ask first now: can this person actually work with AI?

So we built Sovrano AI. Students take paid evaluation work from the teams training frontier models, in their own field and their own language. What an employer meets afterwards is someone who has already done the work, on a record they can check.

Sovrano AI does not run these pipelines. It staffs them, across finance, accounting, marketing, HR, legal and engineering, in 23 European languages.

What the work actually is

RLHF
Ranking a model's answers so it learns which one a specialist would accept, which makes the ranking worth exactly what the ranker knows.
Red-teaming
Pushing a model until it says something wrong, unsafe or legally impossible, then writing down exactly how it got there.
Evaluation
Scoring output against the customer's own rubric, task after task, at a consistency the customer can audit.

Four things a Sovrano evaluator has already passed

An employer meeting a Sovrano evaluator is meeting someone a frontier AI team has already checked four ways, and keeps checking while the work runs.

  1. Verified through their university

    The university confirms who the evaluator is and what they are studying before any profile goes live.

  2. Screened on domain expertise

    Screened in the field they will evaluate in, before any project is offered.

  3. Onboarded against the rubric

    The customer's own scoring rubric is learned up front, before the first paid task.

  4. Checked while they work

    Cross-evaluation against other evaluators, gold-standard tasks with known answers, and PhD-level auditing of borderline cases.

Evaluator data, and any task data Sovrano handles on a customer's behalf, stay inside EU-based AWS regions, with IP masking and EU data residency throughout.

Who is in the network

Sovrano's evaluators are European and university-verified, working in the field they studied. It is the same population employers already recruit early talent from in Europe.

Verified evaluators
120,000+
European languages
23

Figures published by Sovrano AI.

They are native speakers across those 23 languages, and they work in finance, accounting, marketing, HR, legal and engineering. A model gets read by someone who knows both the subject and the language its users will bring to it.

Open opportunities

Roles open and close as customer projects start, so this is the shape of the work rather than today's exact list. Every one of them is paid, remote and scheduled by the evaluator. For an employer, it is also the list of things a Sovrano evaluator can already be asked about in an interview. The live list is in the Sovrano app.

Judge the network for yourself

Book 30 minutes. We will go through the fields with live evaluation work, how evaluators are vetted, and what starting actually asks of you.

Career team at a university? The same call covers bringing Sovrano AI to a whole cohort.