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Specialist QA888,000 residentsUpdated 2026-10-20

AI / LLM Evaluation QA jobs in Indianapolis, United States

AI / LLM Evaluation QA pay in Indianapolis centres on $95k at mid-level, from $78k to $120k. Indianapolis has about 888,000 residents and is the 16th 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 Indianapolis.

$95kmedian · mid-level · gross / year · $95k
p10 $78kp90 $120k
City factor 0.91×Rank 29 of 62
0Open AI / LLM Evaluation QA roles in Indianapolis
32Open in United States
$65k–$180kJunior to lead median / yr
8 hDaily overlap with US East
Openings

AI / LLM Evaluation QA roles near Indianapolis

No AI / LLM Evaluation QA listing is based in Indianapolis 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 Indianapolis

Gross annual pay in USD. Indianapolis is 0.91× the United States median (-9%), which is $100k at mid-level.

Levelp10Medianp90RangeMedian (USD)
Junior$53k$65k$79k$65k
Mid-level$78k$95k$120k$95k
Senior$110k$130k$160k$130k
Lead$140k$180k$210k$180k

Estimates from posted pay ranges, base pay only. Full AI / LLM Evaluation QA salary page for Indianapolis.

The role

What a AI / LLM Evaluation QA does in Indianapolis

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

Indianapolis 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 Indianapolis: FAQ

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

A mid-level AI / LLM Evaluation QA in Indianapolis earns a median of $95k a year ($95k), with a p10 to p90 range of $78k to $120k. Junior pay starts near $65k, senior pay is $130k and leads reach $180k.

Are there AI / LLM Evaluation QA jobs in Indianapolis?

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

Indianapolis ranks 29th of 62 United States cities we track for AI / LLM Evaluation QA pay, at 0.91x the national median (-9%). The national mid-level median is $100k, so Indianapolis is below it. Against the US it is 5% below the US median of $100k.

What skills do AI / LLM Evaluation QA jobs in Indianapolis 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 Indianapolis?

Indianapolis 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 Indianapolis 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 Indianapolis starts at the higher of the city and national median.

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