How much do AI Data Labeling Managers make in Kansas City compared to the national average?

The national median AI Data Labeling Manager salary is $115,054. In Kansas City, COL adjustments bring the median to $107,000.

What is the demand outlook for AI Data Labeling Managers in Kansas City?

Demand for AI Data Labeling Managers in Kansas City remains strong. The compensation range of $79,000 to $144,000 reflects competitive hiring.

What is the hiring process like for AI Data Labeling Managers in Kansas City?

AI Data Labeling Manager 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 Labeling Manager.

Kansas City.

$107,000

median salary, 7% below the national average

$79,000 to $144,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what AI Data Labeling Managers actually make in Kansas City: $79,000 at the 25th percentile, $107,000 at the median, and $144,000 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

$79,000

per year

Median

$107,000

per year

75th Percentile

$144,000

per year

Tap to place your salary

$79,000$144,000

How Kansas City compares

Kansas City, MO

$107,000

Cost of living: 7% below average

National Average

$115,000

Kansas City is $8,000 below

What you should know

Before you negotiate a AI Data Labeling Manager 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 labeling managers oversee annotation teams and quality assurance processes critical to ML model performance. Salary varies based on team size managed and domain complexity, with medical and autonomous driving labeling paying 15 to 25% more. Experience with labeling platforms like Scale AI, Labelbox, or custom tooling is a key differentiator.

Labeling team leads start at $85,000 to $100,000. Managers overseeing multiple annotation teams earn $115,000 to $155,000. Senior managers and directors of data operations reach $160,000 to $210,000, while VPs of data quality at large AI companies can command $220,000 to $300,000. 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. Equity is common at AI startups, typically 0.05 to 0.2% for manager-level roles. Annual bonuses range from 8 to 15%. Some companies offer per-project completion bonuses of $5,000 to $15,000 for meeting quality and timeline targets on critical datasets. 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 $107,000, 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 Labeling Managers in Kansas City runs from $79,000 to $144,000. 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.

Technical understanding of ML model requirements, experience with active learning and programmatic labeling, and strong project management skills drive the highest pay. Managers who can reduce labeling costs while maintaining quality through process optimization earn 10 to 20% premiums.

The role is shifting from managing large manual annotation teams to overseeing AI-assisted labeling workflows. Managers who can implement and manage human-in-the-loop systems earn more as companies seek to reduce labeling costs while scaling data quality.

The national median for a AI Data Labeling Manager is $115,054. In Kansas City, cost of living adjustments push the median to $107,000. 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 Labeling Managers specifically, ai data labeling managers oversee annotation teams and quality assurance processes critical to ml model performance, which signals sustained demand. The current compensation range of $79,000 to $144,000 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 Labeling Manager 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.