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$35.5K

$102.3K

$165K

How much do manager ai annotation jobs pay per year?

As of Sep 11, 2026, the average yearly pay for manager ai annotation in the United States is $102,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Ai Annotation vs Data Annotator?

AspectManager Ai AnnotationData Annotator
Required CredentialsBachelor's degree in related field, experience in AI projectsHigh school diploma or equivalent, on-the-job training
Work EnvironmentTeam management, project oversight, collaboration with data scientistsData labeling tasks, working with annotation tools
Industry UsageAI development, machine learning projectsData preparation for AI models
Search & Comparison IntentUnderstanding managerial roles in AI annotationEntry-level annotation tasks

The main difference between Manager Ai Annotation and Data Annotator lies in their responsibilities and experience. Managers oversee annotation projects, coordinate teams, and ensure quality, requiring leadership skills and experience. Data Annotators focus on labeling data accurately under supervision. Managers typically have higher credentials and work in strategic roles, while annotators perform the hands-on labeling tasks essential for AI training.

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Manager Ai Annotation jobs near you
Infographic showing various Manager Ai Annotation job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $102,286 per year, or $49.2 per hour.

General Manager, AI Data Labeling (California)

California, MO • On-site

Wing Assistant
Online Marketplaces • 501 - 1,000 employees
Learn more about Wing Assistantexternal

$170K - $250K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

General Manager, AI Data Labeling

Remote, San Francisco

About Wing

Wing is one of the world's largest virtual talent companies, venture-backed and based in San Francisco. Leveraging our scale, millions of applicants, and other operational expertise, we’re launching a dedicated AI data labeling & annotation subsidiary, empowering exceptional people to play a defining role in training the next generation of AI. We’re hiring a General Manager to run this business end-to-end.

About the Role

As General Manager, AI Data Labeling, you will own P&L, strategy, go-to-market, delivery/quality, security & compliance, and team building. You’ll build the business from zero, close key customers, help set up the operating engine, and report directly to Wing’s CEO.

Responsibilities
  • Acquire new business from AI labs and tier-1 tech companies via your network, digital/in-person outbound
  • Own enterprise sales cycles end-to-end (discovery, scoping, pricing, MSA/SOW negotiation)
  • Attend meetings, consultations, events, etc. in person as needed and build key relationships
  • Build durable relationships with researchers, data/infra leaders, procurement, and legal; expand accounts
  • Own the business plan, pricing, margin targets, forecasting, and budget adherence
  • Report on progress to senior leadership, foster a culture of accountability, transparency, and operational rigor
Requirements
  • Primarily located in San Francisco, CA, with a willingness to travel around Northern California, the United States, and internationally as needed
  • Bachelor's degree in any discipline, ideally from a top institution
  • Outgoing, social, gregarious personality, willingness, and capability to always be building relationships
  • Great management skills: you will, to an extent, be responsible for a giant piece of an entire business unit and all that comes with it, people management, budgets, interfacing with finance, legal, operations, and more
  • Strong preference for someone who has led Sales & Commercials: Expert in complex MSAs/SOWs, pricing, and margin management; trusted relationships across AI labs and leading tech companies; able to open doors and close enterprise deals
  • Expert in complex MSAs/SOWs, pricing strategy, and margin management
  • Proven builder of multidisciplinary teams; excellent stakeholder management
  • Digital native (Google Workspace, Sheets, CRM)
Nice-to-haves
  • Experience selling to or operating within AI labs (RLHF, red-teaming, evals, multimodal)
  • Prior success taking a services P&L from $0 to $10M+ with healthy unit economics
  • Strong interest and understanding in artificial intelligence, machine learning, and LLMs

Salary: $170,000 - $250,000 a year

Benefits & Compensation
  • Base compensation: $170K–$250K, with increases as the business grows
  • Equity: generous grant vested over 4 years
  • Performance Bonus: Strong performers can expect $300K-$1M+ in additional annual cash and equity on top of base for closing and expanding enterprise deals
  • A $1K monthly allowance for meals
  • Company-sponsored Equinox membership
  • Health insurance

Note: please ignore any interview assessment automated emails, if any. They do not apply to this role.

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