AI / LLM Evaluation QA jobs in Kyiv, Ukraine
Mid-level AI / LLM Evaluation QAs in Kyiv earn about UAH 1.2M gross a year ($29k), with most offers between UAH 990k and UAH 1.5M. Kyiv has about 3 million residents and is the 1st largest of the 6 Ukraine cities we list. PassRidge lists 1 open AI / LLM Evaluation QA role based here.
AI / LLM Evaluation QA roles near Kyiv
No AI / LLM Evaluation QA listing is based in Kyiv today, so these are the nearest in Ukraine, then the levels we place here. Placement pay starts at the higher of the city and national median.
Lead AI Tester
Senior/Tech Lead QA with AI experience (Part-time)
Junior AI Quality Analyst
AI Quality Analyst
Senior AI Quality Analyst
Lead AI Quality Analyst
"Talent pipeline" cards are the levels we place, not an employer's vacancy. Real postings are labelled "Market listing". How pay is set.
AI / LLM Evaluation QA pay by level in Kyiv
Gross annual pay in UAH. Kyiv is 1.08× the Ukraine median (+8%), which is UAH 1.1M at mid-level.
| Level | p10 | Median | p90 | Range | Median (USD) |
|---|---|---|---|---|---|
| Junior | UAH 670k | UAH 820k | UAH 1M | $20k | |
| Mid-level | UAH 990k | UAH 1.2M | UAH 1.5M | $29k | |
| Senior | UAH 1.4M | UAH 1.7M | UAH 2.1M | $42k | |
| Lead | UAH 1.8M | UAH 2.2M | UAH 2.7M | $54k |
Estimates from posted pay ranges, base pay only. Full AI / LLM Evaluation QA salary page for Kyiv.
What a AI / LLM Evaluation QA does in Kyiv
Evaluates model outputs, writes rubrics and builds regression sets for AI features.
- Write evaluation rubrics and golden datasets
- Rate and compare model outputs at scale
- Red-team prompts for safety and policy gaps
- Build regression suites for prompt and model changes
- Report quality metrics to product teams
Skills and stack employers ask for
Tools named most often
Time zone
Kyiv is on Europe/Kyiv. A 09:00-17:00 day shares 1 h with US East, 6 h with London and 7 h with Central Europe.
AI / LLM Evaluation QA jobs in other Ukraine cities
| City | Mid-level median | |
|---|---|---|
| Kharkiv | UAH 1M | AI / LLM Evaluation QA jobs |
| Odesa | UAH 1M | AI / LLM Evaluation QA jobs |
| Dnipro | UAH 1M | AI / LLM Evaluation QA jobs |
| Lviv | UAH 1M | AI / LLM Evaluation QA jobs |
| Zaporizhzhia | UAH 1M | AI / LLM Evaluation QA jobs |
Other QA roles in Kyiv
QA jobs, time zone and hiring facts for Kyiv · AI / LLM Evaluation QA role guide · Hire a AI / LLM Evaluation QA
AI / LLM Evaluation QA jobs in Kyiv: FAQ
How much does a AI / LLM Evaluation QA earn in Kyiv?
A mid-level AI / LLM Evaluation QA in Kyiv earns a median of UAH 1.2M a year ($29k), with a p10 to p90 range of UAH 990k to UAH 1.5M. Junior pay starts near UAH 820k, senior pay is UAH 1.7M and leads reach UAH 2.2M.
Are there AI / LLM Evaluation QA jobs in Kyiv?
Yes: 1 open AI / LLM Evaluation QA role is based in Kyiv right now, 0 of them remote, and 2 in Ukraine. Tell us your city and we alert you when a local role opens.
How does Kyiv pay compare with the rest of Ukraine?
Kyiv ranks 1st of 6 Ukraine cities we track for AI / LLM Evaluation QA pay, at 1.08x the national median (+8%). The national mid-level median is UAH 1.1M, so Kyiv is above it. Against the US it is 71% below the US median of $100k.
What skills do AI / LLM Evaluation QA jobs in Kyiv ask for?
Evaluates model outputs, writes rubrics and builds regression sets for AI features. Typical requirements: Prompting, Evaluation design, Python, Domain expertise, Annotation tools. The tools named most often are Python, Jira, Postman.
Can a AI / LLM Evaluation QA work with US or European teams from Kyiv?
Kyiv is on Europe/Kyiv. A 09:00-17:00 day shares about 1 h with US East, 6 h with London and 7 h with Central Europe. 85% of AI / LLM Evaluation QA roles are remote-friendly.
How do I get a AI / LLM Evaluation QA job in Kyiv with PassRidge?
Tell us your level and stack in the form on this page. A recruiter sends matching roles with the pay shown upfront; it is free for candidates and nothing goes to an employer without your written OK. Our placement range for Kyiv starts at the higher of the city and national median.