How much do AI Data Quality Engineers make in Kansas City compared to the national average?

The national median AI Data Quality Engineer salary is $139,785. In Kansas City, COL adjustments bring the median to $130,000.

What is the demand outlook for AI Data Quality Engineers in Kansas City?

Demand for AI Data Quality Engineers in Kansas City remains strong. The compensation range of $98,000 to $172,000 reflects competitive hiring.

What is the hiring process like for AI Data Quality Engineers in Kansas City?

AI Data Quality Engineer hiring in Kansas City involves 3 to 5 rounds over 2 to 4 weeks. Prepare with company research and Orbyt's Interview Prep tool.

AI Data Quality Engineer.

Kansas City.

$130,000

median salary, 7% below the national average

$98,000 to $172,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what AI Data Quality Engineers actually make in Kansas City: $98,000 at the 25th percentile, $130,000 at the median, and $172,000 at the 75th. That is 7% below the national average. Kansas City straddles Missouri and Kansas, creating a unique dual state job market with strong logistics, tech, and agriculture technology sectors. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$98,000

per year

Median

$130,000

per year

75th Percentile

$172,000

per year

Tap to place your salary

$98,000$172,000

How Kansas City compares

Kansas City, MO

$130,000

Cost of living: 7% below average

National Average

$140,000

Kansas City is $10,000 below

What you should know

Before you negotiate a AI Data Quality Engineer offer in Kansas City, understand the terrain. Kansas City straddles Missouri and Kansas, creating a unique dual state job market with strong logistics, tech, and agriculture technology sectors. The metro's central location has made it a hub for distribution centers and supply chain companies. Cerner's healthcare IT presence and a growing startup scene have boosted demand for technology professionals. 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 Kansas City, 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: missouri's top income tax rate is about 4.8%, and Kansas City adds a 1% earnings tax. Workers living in Kansas face that state's rates instead. Choose your side of the state line carefully. When someone quotes you $130,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Negotiate which side of the state line you will be based on. Your tax situation differs meaningfully between Missouri and Kansas, and some employers offer flexibility on office location. The range for AI Data Quality Engineers in Kansas City runs from $98,000 to $172,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in Kansas City

Logistics & DistributionHealthcare ITAgriculture TechnologyFinancial ServicesGovernment

Negotiating in Kansas City

Negotiate which side of the state line you will be based on. Your tax situation differs meaningfully between Missouri and Kansas, and some employers offer flexibility on office location.

Common questions.

Data quality is widely recognized as the most impactful factor in ML model performance, which is driving salary growth of 12 to 18% annually for this role. Companies that have experienced model failures due to data issues are especially willing to invest in quality engineering talent.

Great Expectations, Deequ, and TensorFlow Data Validation are foundational tools. Experience with custom drift detection, schema validation, and automated anomaly detection in data pipelines adds 8 to 15% to salary offers. Familiarity with data observability platforms like Monte Carlo is also valued.

The national median for a AI Data Quality Engineer is $139,785. In Kansas City, cost of living adjustments push the median to $130,000. That discount reflects Kansas City's lower housing, transportation, and everyday costs.

Kansas City straddles Missouri and Kansas, creating a unique dual state job market with strong logistics, tech, and agriculture technology sectors. The metro's central location has made it a hub for distribution centers and supply chain companies. For AI Data Quality Engineers specifically, ai data quality engineers ensure training and serving data meets standards for ml model reliability, which signals sustained demand. The current compensation range of $98,000 to $172,000 reflects a market that is competing for talent.

Missouri's top income tax rate is about 4.8%, and Kansas City adds a 1% earnings tax. Workers living in Kansas face that state's rates instead. Choose your side of the state line carefully. When comparing offers across states, your take home pay matters more than the number on the offer letter. A lower salary in a no income tax state can net more than a higher one elsewhere.

AI Data Quality Engineer hiring in Kansas City typically involves three to five rounds: a recruiter screen, a technical or skills assessment, one or two team interviews, and a final conversation with leadership. Companies in Kansas City's Logistics & Distribution sector may add domain specific evaluations. The process usually takes two to four weeks. Prepare by researching the company and practicing with Orbyt's Interview Prep tool.