Human-made
AI training data

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Skilled · Observant · Vetted · Accurate
"sova" = owl in Ukrainian

Human-made AI data from talent the big platforms can't reach.

Several of the largest expert-data platforms don't pay contributors in Ukraine. That leaves a deep bench of strong linguists and software engineers who are available to work and used to working to a spec.

Every project runs on the same QA pipeline: golden sets, a paid calibration round, sampled review and agreement tracking. You get data that holds up when your own reviewers check it.

Sanctions-clean Russian coverage

Every Russian-speaking specialist we field is screened against the OFAC, EU, UK and Ukrainian sanctions lists, so nobody on the team is under sanctions. Nobody in Russia, Belarus or the occupied territories of Ukraine, no payment routes through any of them, documented per person on request. Native Russian language data without the compliance exposure.

  • LLM evaluation. Rubric-based review, preference comparisons, side-by-side evals.
  • RLHF and SFT data. Prompt writing, response creation, preference pairs.
  • Localization QA. Error elicitation and categorization, style and tone review in Ukrainian, Russian and Turkish.
  • Code data. Code review annotation, SFT and preference pairs, eval sets with tests.
  • Agentic traces. Engineers solving real repository issues, with reasoning and dead ends recorded.
  • STEM experts. Developers, engineers, physicists and mathematicians recruited per project, tested before onboarding.
  • Transcription. Ukrainian and Russian audio, dialect-aware, to client spec.
Native
Ukrainian, Russian, Turkish
Working
English. C1+ for project leads, B2+ for annotators
Expansion on request
Other languages through vetted partner teams
STEM and engineering
Developers, engineers and scientists recruited per project from Ukraine's technical talent, tested before onboarding
Capacity
Calibrated team live within one week
Time zone
EET. Full EU overlap, US East morning handoff
  1. Golden-set onboarding, then a paid calibration round before anyone touches production.
  2. Two-tier review in production: annotator first, reviewer on a 10 to 20 percent sample.
  3. Inter-annotator agreement tracked, weekly quality reports.
  4. Anti-fraud built in: AI-generation checks, golden-set spot checks in the live queue, full audit trail.

We scale with sharper eyes, not more bodies.

NDA first. We work in your tooling. Paid pilot batch from 40 hours, so you judge the output rather than the pitch. Per-task pricing available where the unit is well defined. Rate card on request.

See how we judge model output: sample evaluation pack (PDF).

Join our vetted pool of annotators, linguists, developers and STEM experts. Remote and project based. Paid in USD. In Ukraine you invoice as a FOP. You never pay us anything, at any stage.

Ukrainian and Russian talent pool, apply here