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Manager Ai Annotation Jobs (NOW HIRING)

... Manager of AI Data Operations who is passionate about delivering production-grade machine learning ... You will lead an organization of internal domain experts, building scalable annotation programs ...

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Manager Ai Annotation information

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$35.5K

$102.3K

$165K

How much do manager ai annotation jobs pay per year?

As of May 29, 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.

More about Manager Ai Annotation jobs
What cities are hiring for Manager Ai Annotation jobs? Cities with the most Manager Ai Annotation job openings:
What are the most commonly searched types of Ai Annotation jobs? The most popular types of Ai Annotation jobs are:
What states have the most Manager Ai Annotation jobs? States with the most job openings for Manager Ai Annotation jobs include:
Senior Manager - AI Data Operations

Senior Manager - AI Data Operations

Apple

Austin, TX • On-site

Full-time

Posted 19 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to develop a culture where everyone belongs and is inspired to do their best work..Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things..Apple's Retail Decision Automation team is looking for an outstanding and experienced Program Manager of AI Data Operations who is passionate about delivering production-grade machine learning and analytics solutions. You'll partner across technical and program teams to manage an organization of data domain experts. Our work in decision automation powers a broad portfolio of Retail initiatives, all with the common goal of enriching and reimagining our customer experience.
You will lead an organization of internal domain experts, building scalable annotation programs that balance accuracy and speed while maintaining quality standards. You will partner closely with Engineering, Data Science, and Programs to translate evolving system requirements into robust audit pipelines, tooling strategies, and measurable performance lift.
MS in Computer Science, Statistics, Applied Math or a related field8+ years of people management of data scientists, statisticians, or other analysis-related teams.10-12 Years in AI data operations or ML program leadership.Demonstrated experience leading large-scale annotation or data operations teams.Skilled at attracting new talent, as well as developing talent within the team and planning for succession.Builds a culture where values guide decisions, people are put first, and innovation drives quality results.Communicates with humility and curiosity, creating an environment where people feel safe to share feedback openly.Strong understanding of ML lifecycle, model evaluation metrics, and feedback loops.Proven track record building scalable quality systems in high-growth environments.Ability to influence cross-functional technical leaders and executives.Deep analytical mindset with comfort in ambiguity and rapid iteration environments.
Experience designing RLHF or structured human feedback programs.Background in large language model evaluation and red-teaming.Familiarity with synthetic data strategies.Exposure to the software development lifecycle or internal tooling investments.Prior experience managing a data operations team.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976