AI / LLM Evaluation QA jobs in Florianópolis, Brazil
AI / LLM Evaluation QA pay in Florianópolis centres on R$220k ($43k) at mid-level, from R$180k to R$270k. Florianópolis has about 509,000 residents and is the 15th largest of the 15 Brazil cities we list. No AI / LLM Evaluation QA listing is based here today; Brazil has 3, and remote roles can be done from Florianópolis.
AI / LLM Evaluation QA roles near Florianópolis
No AI / LLM Evaluation QA listing is based in Florianópolis today, so these are the nearest in Brazil, then the levels we place here. Placement pay starts at the higher of the city and national median.
AI-powered QA Automation
QA Engineer (Automation and AI tooling)
AI-Augmented QA Engineer
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 Florianópolis
Gross annual pay in BRL. Florianópolis is 0.88× the Brazil median (-12%), which is R$250k at mid-level.
| Level | p10 | Median | p90 | Range | Median (USD) |
|---|---|---|---|---|---|
| Junior | R$120k | R$150k | R$180k | $29k | |
| Mid-level | R$180k | R$220k | R$270k | $43k | |
| Senior | R$260k | R$320k | R$390k | $61k | |
| Lead | R$340k | R$410k | R$500k | $79k |
Estimates from posted pay ranges, base pay only. Full AI / LLM Evaluation QA salary page for Florianópolis.
What a AI / LLM Evaluation QA does in Florianópolis
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
Florianópolis is on America/Sao Paulo. A 09:00-17:00 day shares 7 h with US East, 4 h with London and 3 h with Central Europe.
AI / LLM Evaluation QA jobs in other Brazil cities
Other QA roles in Florianópolis
QA jobs, time zone and hiring facts for Florianópolis · AI / LLM Evaluation QA role guide · Hire a AI / LLM Evaluation QA
AI / LLM Evaluation QA jobs in Florianópolis: FAQ
How much does a AI / LLM Evaluation QA earn in Florianópolis?
A mid-level AI / LLM Evaluation QA in Florianópolis earns a median of R$220k a year ($43k), with a p10 to p90 range of R$180k to R$270k. Junior pay starts near R$150k, senior pay is R$320k and leads reach R$410k.
Are there AI / LLM Evaluation QA jobs in Florianópolis?
No AI / LLM Evaluation QA listing is based in Florianópolis today, but Brazil has 3 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 Florianópolis pay compare with the rest of Brazil?
Florianópolis ranks 14th of 15 Brazil cities we track for AI / LLM Evaluation QA pay, at 0.88x the national median (-12%). The national mid-level median is R$250k, so Florianópolis is below it. Against the US it is 57% below the US median of $100k.
What skills do AI / LLM Evaluation QA jobs in Florianópolis 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 Florianópolis?
Florianópolis is on America/Sao Paulo. A 09:00-17:00 day shares about 7 h with US East, 4 h with London and 3 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 Florianópolis 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 Florianópolis starts at the higher of the city and national median.