AI Data Quality Engineer.
Richmond.
$137,000
median salary, 2% below the national average
$103,000 to $181,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
AI Data Quality Engineer pay in Richmond ranges from $103,000 to $181,000 in 2026. The median is $137,000, 2% below the national average. Richmond combines a strong government and defense sector with growing technology and financial services industries. Every dollar in that range is negotiable if you come prepared.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $123,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$89,000
to $110,000
Mid (3-5 yrs)
$116,000
to $144,000
Senior (6-9 yrs)
$151,000
to $178,000
Lead (10+ yrs)
$171,000
to $212,000
Salary trend
+10% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $62,000 to the total package.
Base
$137,000
Equity
$38,000
Bonus
$16,000
Signing
$8,000
Estimated total: $199,000
How Richmond compares
Richmond, VA
$137,000
Cost of living: 1% above average
National Average
$140,000
Richmond is $3,000 below
AI Data Quality Engineer salary by city
Salary by role in Richmond
What you should know
Before you negotiate a AI Data Quality Engineer offer in Richmond, understand the terrain. Richmond combines a strong government and defense sector with growing technology and financial services industries. Capital One's headquarters drives significant fintech employment. The city's proximity to Washington DC creates spillover demand for federal contractors and tech workers seeking lower living costs. AI data quality engineers ensure training and serving data meets standards for ML model reliability. Salary is driven by experience with data validation frameworks, drift detection systems, and automated quality monitoring at scale. Engineers working in regulated industries like healthcare and finance earn 12 to 20% premiums due to compliance requirements.
Junior AI data quality engineers earn $105,000 to $125,000. Engineers with 3 to 5 years of ML data quality experience reach $140,000 to $185,000. Senior engineers and quality team leads earn $190,000 to $248,000, while directors of data quality at enterprise AI companies can command $255,000 to $330,000. In Richmond, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Tech companies provide equity grants of 12 to 22% of base salary. Bonuses range from 10 to 15% annually. Some firms offer additional compensation for maintaining critical data quality SLAs, adding $5,000 to $12,000 for on-call responsibilities. And on the tax side: virginia's top income tax rate is 5.75%. Richmond has no city income tax. The moderate rate and reasonable cost of living create solid net compensation. When someone quotes you $137,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage DC corridor salary benchmarks. Richmond employers compete with Northern Virginia and DC for talent, especially in fintech and government contracting. The range for AI Data Quality Engineers in Richmond runs from $103,000 to $181,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A AR/VR Developer in Richmond earns $136,000 (1% less)
- The highest-paying role in Richmond is Chief AI Officer at $316,000
Common questions.
AI Data Quality Engineer salary in other cities
Other salaries in Richmond
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