AI / LLM Evaluation QA jobs in New York, United States
Mid-level AI / LLM Evaluation QAs in New York earn about $120k gross a year ($120k), with most offers between $98k and $150k. New York has about 8.8 million residents and is the 1st 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 New York.
AI / LLM Evaluation QA roles near New York
No AI / LLM Evaluation QA listing is based in New York 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 New York
Gross annual pay in USD. New York is 1.15× the United States median (+15%), which is $100k at mid-level.
| Level | p10 | Median | p90 | Range | Median (USD) |
|---|---|---|---|---|---|
| Junior | $67k | $82k | $100k | $82k | |
| Mid-level | $98k | $120k | $150k | $120k | |
| Senior | $140k | $170k | $210k | $170k | |
| Lead | $180k | $220k | $270k | $220k |
Estimates from posted pay ranges, base pay only. Full AI / LLM Evaluation QA salary page for New York.
What a AI / LLM Evaluation QA does in New York
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
New York is on America/New York. A 09:00-17:00 day shares 8 h with US East, 3 h with London and 2 h with Central Europe.
AI / LLM Evaluation QA jobs in other United States cities
Other QA roles in New York
QA jobs, time zone and hiring facts for New York · AI / LLM Evaluation QA role guide · Hire a AI / LLM Evaluation QA
AI / LLM Evaluation QA jobs in New York: FAQ
How much does a AI / LLM Evaluation QA earn in New York?
A mid-level AI / LLM Evaluation QA in New York earns a median of $120k a year ($120k), with a p10 to p90 range of $98k to $150k. Junior pay starts near $82k, senior pay is $170k and leads reach $220k.
Are there AI / LLM Evaluation QA jobs in New York?
No AI / LLM Evaluation QA listing is based in New York 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 New York pay compare with the rest of United States?
New York ranks 3rd of 62 United States cities we track for AI / LLM Evaluation QA pay, at 1.15x the national median (+15%). The national mid-level median is $100k, so New York is above it. Against the US it is 20% above the US median of $100k.
What skills do AI / LLM Evaluation QA jobs in New York 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 New York?
New York is on America/New York. A 09:00-17:00 day shares about 8 h with US East, 3 h with London and 2 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 New York 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 New York starts at the higher of the city and national median.