Skip to main content
Orbyt
FeaturesComparePricingToolsDeveloperBlogSupport
Log inBegin

Product

FeaturesEverything Orbyt can doCompareOrbyt vs the competitionPricingPlans and pricing

Tools

Salary ExplorerResearch salaries by role and cityInterview PrepPractice with AI mock interviewsResume ScoreGet your resume scored by AIJob BoardBrowse open positionsAI Skills LabBuild job-ready AI skills

Company

AboutOur story and approachCreedHere’s to the relentless onesDeveloperMCP server and REST APILabsWhat we’re building nextBlogJob search tips and strategySupportHelp articles and guides
BeginAlready have an account? Log in
  1. Home/
  2. Salary/
  3. AI Data Labeling Manager/
  4. San Jose

AI Data Labeling Manager.

San Jose.

$159,000

median salary, 38% above the national average

$117,000 to $214,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

A AI Data Labeling Manager in San Jose earns a median of $159,000 in 2026. That is 38% above the national average. The range runs from $117,000 to $214,000, 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

$117,000

per year

Median

$159,000

per year

75th Percentile

$214,000

per year

Tap to place your salary

$117,000$214,000

How San Jose compares

San Jose, CA

$159,000

Cost of living: 38% above average

National Average

$115,000

San Jose is $44,000 above

What you should know

Here is what the AI Data Labeling Manager market actually looks like in San Jose. San Jose is the capital of Silicon Valley, home to Apple, Google, Adobe, and Cisco. The city consistently ranks among the highest paying metros in the country for technology roles. Competition for talent is fierce, with employers offering aggressive compensation packages including equity, signing bonuses, and premium benefits to attract and retain engineers. 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 San Jose, those numbers run higher. The cost of living here is 38% 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: california's top 13.3% state rate applies fully here. While gross salaries in San Jose are among the nation's highest, the tax burden means net pay may not stretch as far as expected. When someone quotes you $159,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Always negotiate equity alongside base salary. San Jose employers expect candidates to evaluate total compensation including RSUs, and leaving equity on the table is leaving money behind. The range for AI Data Labeling Managers in San Jose runs from $117,000 to $214,000. 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 San Jose

Technology & SoftwareSemiconductorsArtificial IntelligenceNetworking & HardwareClean Energy

Negotiating in San Jose

Always negotiate equity alongside base salary. San Jose employers expect candidates to evaluate total compensation including RSUs, and leaving equity on the table is leaving money behind.

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.

San Jose is the capital of Silicon Valley, home to Apple, Google, Adobe, and Cisco. The city consistently ranks among the highest paying metros in the country for technology roles. For AI Data Labeling Managers specifically, the median salary of $159,000 reflects that demand.

Relevant certifications can add 5 to 15% to a AI Data Labeling Manager's base salary in San Jose. Specifically, ai data labeling managers oversee annotation teams and quality assurance processes critical to ml model performance. In a market where the range spans $117,000 to $214,000, certifications often bridge the gap between the 50th and 75th percentile.

San Jose's economy is driven by Technology & Software, Semiconductors, Artificial Intelligence, and Networking & Hardware. AI Data Labeling Managers are hired across these sectors, though compensation can vary 15 to 25% between industries. Company size and funding stage also influence total packages significantly.

AI Data Labeling Manager salary in other cities

Houston$112,000
Indianapolis$105,000
Kansas City$107,000
Los Angeles$136,000
Miami$129,000
Minneapolis$121,000

Other salaries in San Jose

Welder$72,000
Wind Turbine Technician$79,000
Water Resource Specialist$105,000
Account Executive$131,000

Related

Salary ExplorerInterview PrepResume ScoreJob Search Guide

Negotiating a AI Data Labeling Manager offer?

Get a personalized playbook.

Begin.

Product

  • Features
  • Compare
  • Pricing
  • Support

For

  • Career Changers
  • New Graduates
  • Recently Laid Off
  • Senior Professionals
  • Remote Job Seekers
  • Burned Out

Free Tools

  • Interview Prep
  • Resume Score
  • Salary Explorer
  • AI Skills Assessment
  • AI Skills Lab
  • Job Board

Guides

  • Job Search Guide
  • Interview Prep Guide
  • Resume Guide

Compare

  • Orbyt vs Teal
  • Orbyt vs Huntr
  • Orbyt vs Jobscan
  • Orbyt vs LinkedIn
  • Orbyt vs Trello
  • Orbyt vs Notion
  • Orbyt vs Spreadsheets
  • Orbyt vs Simplify
  • Orbyt vs Careerflow
  • Orbyt vs ApplyArc
  • Orbyt vs Jobright
  • Orbyt vs Sprout

Developers

  • API Docs
  • Claude Desktop
  • OpenClaw
  • ChatGPT
  • Apple Shortcuts
  • Zapier

Connect

  • Refer a Friend
  • Recruiter Program

Company

  • About
  • Founder
  • Values
  • Creed
  • Labs
  • Blog

Account

  • Sign In
  • Sign Up
Orbyt

© 2026 Purecraft LLC  All rights reserved.

Privacy·Terms·Security·Accessibility·Status