What is the entry level AI Data Labeling Manager salary in Phoenix?

Entry level AI Data Labeling Manager positions in Phoenix start near $82,000. Candidates with strong backgrounds negotiate toward $110,000.

Is Phoenix a good city for AI Data Labeling Managers?

Phoenix offers competitive compensation for AI Data Labeling Managers. The median salary is $110,000.

How fast are AI Data Labeling Manager salaries growing in Phoenix?

AI Data Labeling Manager salaries in Phoenix trend upward. The 2026 range is $82,000 to $149,000.

AI Data Labeling Manager.

Q: What is the average AI Data Labeling Manager salary in Phoenix?

The average AI Data Labeling Manager salary in Phoenix, AZ is $110,000 in 2026. The 25th percentile is $82,000 and the 75th percentile is $149,000.

Phoenix.

$110,000

median salary, 4% below the national average

$82,000 to $149,000. Updated for 2026.

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The numbers.

Everything you need to negotiate with confidence.

Phoenix is 4% cheaper than the national average. For AI Data Labeling Managers, that shakes out to a median of $110,000, with the full range spanning $82,000 to $149,000. AI data labeling managers oversee annotation teams and quality assurance processes critical to ML model performance. Know the range before you walk in.

Salary range

25th Percentile

$82,000

per year

Median

$110,000

per year

75th Percentile

$149,000

per year

Tap to place your salary

$82,000$149,000

How Phoenix compares

Phoenix, AZ

$110,000

Cost of living: 4% below average

National Average

$115,000

Phoenix is $5,000 below

What you should know

Here is what the AI Data Labeling Manager market actually looks like in Phoenix. Phoenix is one of the fastest growing metros in the U.S., fueled by semiconductor manufacturing, financial services, and tech company expansions. Intel, TSMC, and other chipmakers have made massive investments in the area. The combination of affordable housing and rising salaries has made Phoenix increasingly attractive to relocating 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 Phoenix, 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: arizona has a flat 2.5% income tax rate, one of the lowest in the nation. Phoenix has no additional city income tax, making overall take home pay very competitive. When someone quotes you $110,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Reference the influx of semiconductor and tech employers to justify higher offers. Phoenix salaries are rising fast, and employers know they must compete with coastal recruiters. The range for AI Data Labeling Managers in Phoenix runs from $82,000 to $149,000. 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 Phoenix

Semiconductor ManufacturingFinancial ServicesHealthcareReal EstateTechnology

Negotiating in Phoenix

Reference the influx of semiconductor and tech employers to justify higher offers. Phoenix salaries are rising fast, and employers know they must compete with coastal recruiters.

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.

In 2026, the average AI Data Labeling Manager salary in Phoenix, AZ is $110,000. The 25th percentile sits at $82,000 and the 75th percentile reaches $149,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

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. In Phoenix, these factors can push compensation from the 25th percentile of $82,000 to the 75th percentile of $149,000 or beyond.

Entry level AI Data Labeling Manager positions in Phoenix typically start near $82,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $110,000. Labeling team leads start at $85,000 to $100,000.

Phoenix is one of the fastest growing metros in the U.S. For AI Data Labeling Managers specifically, the median salary of $110,000 reflects that demand.

AI Data Labeling Manager compensation in Phoenix has trended upward as demand outpaces supply. The 2026 range of $82,000 to $149,000 reflects a market that rewards specialization. AI data labeling managers oversee annotation teams and quality assurance processes critical to ML model performance.