AI / LLM Evaluation QA jobs in Cambridge, United Kingdom
Mid-level AI / LLM Evaluation QAs in Cambridge earn about £45k gross a year ($57k), with most offers between £37k and £55k. Cambridge has about 146,000 residents and is the 20th largest of the 20 United Kingdom cities we list. No AI / LLM Evaluation QA listing is based here today; United Kingdom has 6, and remote roles can be done from Cambridge.
AI / LLM Evaluation QA roles near Cambridge
No AI / LLM Evaluation QA listing is based in Cambridge today, so these are the nearest in United Kingdom, then the levels we place here. Placement pay starts at the higher of the city and national median.
Graduate Software Engineer, AI/ ML Test Systems 2027
AI & Data Software Tester
Senior Tester - AI & Test Automation
Senior QA Automation Engineer - AI
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 Cambridge
Gross annual pay in GBP. Cambridge is 0.93× the United Kingdom median (-7%), which is £48k at mid-level.
| Level | p10 | Median | p90 | Range | Median (USD) |
|---|---|---|---|---|---|
| Junior | £25k | £31k | £37k | $39k | |
| Mid-level | £37k | £45k | £55k | $57k | |
| Senior | £52k | £64k | £78k | $81k | |
| Lead | £68k | £83k | £100k | $110k |
Estimates from posted pay ranges, base pay only. Full AI / LLM Evaluation QA salary page for Cambridge.
What a AI / LLM Evaluation QA does in Cambridge
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
Cambridge is on Europe/London. A 09:00-17:00 day shares 3 h with US East, 8 h with London and 7 h with Central Europe.
AI / LLM Evaluation QA jobs in other United Kingdom cities
Other QA roles in Cambridge
QA jobs, time zone and hiring facts for Cambridge · AI / LLM Evaluation QA role guide · Hire a AI / LLM Evaluation QA
AI / LLM Evaluation QA jobs in Cambridge: FAQ
How much does a AI / LLM Evaluation QA earn in Cambridge?
A mid-level AI / LLM Evaluation QA in Cambridge earns a median of £45k a year ($57k), with a p10 to p90 range of £37k to £55k. Junior pay starts near £31k, senior pay is £64k and leads reach £83k.
Are there AI / LLM Evaluation QA jobs in Cambridge?
No AI / LLM Evaluation QA listing is based in Cambridge today, but United Kingdom has 6 and AI / LLM Evaluation QA roles open to remote candidates in the same time zone are common. Tell us your city and we alert you when a local role opens.
How does Cambridge pay compare with the rest of United Kingdom?
Cambridge ranks 9th of 20 United Kingdom cities we track for AI / LLM Evaluation QA pay, at 0.93x the national median (-7%). The national mid-level median is £48k, so Cambridge is below it. Against the US it is 43% below the US median of $100k.
What skills do AI / LLM Evaluation QA jobs in Cambridge 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 Cambridge?
Cambridge is on Europe/London. A 09:00-17:00 day shares about 3 h with US East, 8 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 Cambridge 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 Cambridge starts at the higher of the city and national median.