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

The national median AI Data Labeling Manager salary is $114,844. In New York, COL adjustments bring the median to $147,000.

What is the demand outlook for AI Data Labeling Managers in New York?

Demand for AI Data Labeling Managers in New York remains strong. The compensation range of $109,000 to $198,000 reflects competitive hiring.

What is the hiring process like for AI Data Labeling Managers in New York?

AI Data Labeling Manager hiring in New York involves 3 to 5 rounds over 2 to 4 weeks. Prepare with company research and Orbyt's Interview Prep tool.

AI Data Labeling Manager.

New York.

$147,000

median salary, 28% above the national average

$109,000 to $198,000. 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 New York: $109,000 at the 25th percentile, $147,000 at the median, and $198,000 at the 75th. That is 28% above the national average. New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$109,000

per year

Median

$147,000

per year

75th Percentile

$198,000

per year

Tap to place your salary

$109,000$198,000

How New York compares

New York, NY

$147,000

Cost of living: 28% above average

National Average

$115,000

New York is $32,000 above

What you should know

Before you negotiate a AI Data Labeling Manager offer in New York, understand the terrain. New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. The city's tech sector has grown rapidly, rivaling the Bay Area for venture funding and startup activity. Remote work has reshaped demand slightly, but employers still pay premiums for in office presence in Manhattan. 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 New York, those numbers run higher. The cost of living here is 28% above average, and employers adjust to compete.

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: new York State income tax rates reach 10.9%, and New York City adds a local income tax up to 3.876%. Combined with federal taxes, your effective rate can be among the highest nationally. When someone quotes you $147,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Emphasize your willingness to work from the office in Manhattan. Many NYC employers pay 10 to 15% more for in person roles compared to remote positions. The range for AI Data Labeling Managers in New York runs from $109,000 to $198,000. 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 New York

Financial ServicesMedia & AdvertisingTechnologyHealthcareFashion & Retail

Negotiating in New York

Emphasize your willingness to work from the office in Manhattan. Many NYC employers pay 10 to 15% more for in person roles compared to remote positions.

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 $114,844. In New York, cost of living adjustments push the median to $147,000. That premium reflects New York's higher housing, transportation, and everyday costs.

New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. The city's tech sector has grown rapidly, rivaling the Bay Area for venture funding and startup activity. 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 $109,000 to $198,000 reflects a market that is competing for talent.

New York State income tax rates reach 10.9%, and New York City adds a local income tax up to 3.876%. Combined with federal taxes, your effective rate can be among the highest nationally. 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 New York 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 New York's Financial Services 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.