Do AI Data Labeling Managers in Houston earn overtime or bonuses?

Many AI Data Labeling Managers are exempt from overtime. Equity is common at AI startups, typically 0. Ask about total comp when evaluating offers.

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

The national median AI Data Labeling Manager salary is $115,464. In Houston, COL adjustments bring the median to $112,000.

What is the cost of living adjusted AI Data Labeling Manager salary in Houston?

Houston's COL multiplier is 0.97x. The median AI Data Labeling Manager salary of $112,000 here equals about $115,464 in an average cost market.

AI Data Labeling Manager.

Houston.

$112,000

median salary, 3% below the national average

$82,000 to $150,000. Updated for 2026.

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The numbers.

Everything you need to negotiate with confidence.

A AI Data Labeling Manager in Houston earns a median of $112,000 in 2026. That is 3% below the national average. The range runs from $82,000 to $150,000, and where you land depends on your experience, your skills, and how well you negotiate. AI data labeling managers oversee annotation teams and quality assurance processes critical to ML model performance.

Salary range

25th Percentile

$82,000

per year

Median

$112,000

per year

75th Percentile

$150,000

per year

Tap to place your salary

$82,000$150,000

How Houston compares

Houston, TX

$112,000

Cost of living: 3% below average

National Average

$115,000

Houston is $3,000 below

What you should know

Here is what the AI Data Labeling Manager market actually looks like in Houston. Houston's economy is deeply rooted in energy, with a growing presence in healthcare, aerospace, and technology. The Texas Medical Center is the world's largest, driving massive demand for clinical and research roles. Houston's low cost of living and no state income tax make it an attractive destination for professionals seeking strong purchasing power. 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 Houston, 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: texas has no state income tax, giving Houston workers strong take home pay. The city's overall cost of living is below the national average, further stretching your salary. When someone quotes you $112,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Emphasize industry specialization in energy or healthcare. Houston employers pay significant premiums for domain expertise in these sectors over generalist candidates. The range for AI Data Labeling Managers in Houston runs from $82,000 to $150,000. 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 Houston

Energy & Oil/GasHealthcareAerospace & NASAManufacturingTechnology

Negotiating in Houston

Emphasize industry specialization in energy or healthcare. Houston employers pay significant premiums for domain expertise in these sectors over generalist candidates.

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.

It depends on the position and employer. Many AI Data Labeling Managers in Houston are classified as exempt salaried employees without overtime eligibility. However, equity is common at ai startups, typically 0. When evaluating the $82,000 to $150,000 range, ask about the total compensation structure during negotiation.

The national median for a AI Data Labeling Manager is $115,464. In Houston, cost of living adjustments push the median to $112,000. That discount reflects Houston's lower housing, transportation, and everyday costs.

Houston's cost of living multiplier is 0.97x the national average. The adjusted median AI Data Labeling Manager salary of $112,000 accounts for this. In practice, a AI Data Labeling Manager earning $112,000 in Houston has roughly the same purchasing power as someone earning $115,464 in an average cost market.