AI / LLM Evaluation QA jobs in San Antonio, United States
A mid-level AI / LLM Evaluation QA in San Antonio earns a median of $92k a year ($92k gross). San Antonio has about 1.5 million residents and is the 7th largest of the 62 United States cities we list. No AI / LLM Evaluation QA listing is based here today; United States has 32, and remote roles can be done from San Antonio.
AI / LLM Evaluation QA roles near San Antonio
No AI / LLM Evaluation QA listing is based in San Antonio today, so these are the nearest in United States, then the levels we place here. Placement pay starts at the higher of the city and national median.
Research Scientist, AI Evaluation Science
AI Native, QA Engineer
Data Scientist, AI/ML Model Quality
Senior Software Engineer, AI Evaluation Infrastructure
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 San Antonio
Gross annual pay in USD. San Antonio is 0.88× the United States median (-12%), which is $100k at mid-level.
| Level | p10 | Median | p90 | Range | Median (USD) |
|---|---|---|---|---|---|
| Junior | $51k | $62k | $76k | $62k | |
| Mid-level | $75k | $92k | $110k | $92k | |
| Senior | $110k | $130k | $160k | $130k | |
| Lead | $140k | $170k | $210k | $170k |
Estimates from posted pay ranges, base pay only. Full AI / LLM Evaluation QA salary page for San Antonio.
What a AI / LLM Evaluation QA does in San Antonio
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
San Antonio is on America/Chicago. A 09:00-17:00 day shares 7 h with US East, 2 h with London and 1 h with Central Europe.
AI / LLM Evaluation QA jobs in other United States cities
Other QA roles in San Antonio
QA jobs, time zone and hiring facts for San Antonio · AI / LLM Evaluation QA role guide · Hire a AI / LLM Evaluation QA
AI / LLM Evaluation QA jobs in San Antonio: FAQ
How much does a AI / LLM Evaluation QA earn in San Antonio?
A mid-level AI / LLM Evaluation QA in San Antonio earns a median of $92k a year ($92k), with a p10 to p90 range of $75k to $110k. Junior pay starts near $62k, senior pay is $130k and leads reach $170k.
Are there AI / LLM Evaluation QA jobs in San Antonio?
No AI / LLM Evaluation QA listing is based in San Antonio today, but United States has 32 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 San Antonio pay compare with the rest of United States?
San Antonio ranks 56th of 62 United States cities we track for AI / LLM Evaluation QA pay, at 0.88x the national median (-12%). The national mid-level median is $100k, so San Antonio is below it. Against the US it is 8% below the US median of $100k.
What skills do AI / LLM Evaluation QA jobs in San Antonio 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 San Antonio?
San Antonio is on America/Chicago. A 09:00-17:00 day shares about 7 h with US East, 2 h with London and 1 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 San Antonio 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 San Antonio starts at the higher of the city and national median.