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Specialist QA455,000 residentsUpdated 2026-10-20

AI / LLM Evaluation QA jobs in Virginia Beach, United States

A mid-level AI / LLM Evaluation QA in Virginia Beach earns a median of $92k a year ($92k gross). Virginia Beach has about 455,000 residents and is the 42nd 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 Virginia Beach.

$92kmedian · mid-level · gross / year · $92k
p10 $75kp90 $110k
City factor 0.88×Rank 60 of 62
0Open AI / LLM Evaluation QA roles in Virginia Beach
32Open in United States
$62k–$170kJunior to lead median / yr
8 hDaily overlap with US East
Openings

AI / LLM Evaluation QA roles near Virginia Beach

No AI / LLM Evaluation QA listing is based in Virginia Beach 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.

All AI / LLM Evaluation QA jobs in United States

"Talent pipeline" cards are the levels we place, not an employer's vacancy. Real postings are labelled "Market listing". How pay is set.

Pay by level

AI / LLM Evaluation QA pay by level in Virginia Beach

Gross annual pay in USD. Virginia Beach is 0.88× the United States median (-12%), which is $100k at mid-level.

Levelp10Medianp90RangeMedian (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 Virginia Beach.

The role

What a AI / LLM Evaluation QA does in Virginia Beach

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

PromptingEvaluation designPythonDomain expertiseAnnotation tools

Tools named most often

PythonJiraPostman

Time zone

Virginia Beach 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.

FAQ

AI / LLM Evaluation QA jobs in Virginia Beach: FAQ

How much does a AI / LLM Evaluation QA earn in Virginia Beach?

A mid-level AI / LLM Evaluation QA in Virginia Beach 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 Virginia Beach?

No AI / LLM Evaluation QA listing is based in Virginia Beach 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 Virginia Beach pay compare with the rest of United States?

Virginia Beach ranks 60th 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 Virginia Beach is below it. Against the US it is 8% below the US median of $100k.

What skills do AI / LLM Evaluation QA jobs in Virginia Beach 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 Virginia Beach?

Virginia Beach 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 Virginia Beach 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 Virginia Beach starts at the higher of the city and national median.

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