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Manager Ai Annotation Jobs (NOW HIRING)

GE HealthCare

Data Manager - AI Development

$94K - $141K/yr

Maintain annotation dashboards to ensure timely delivery aligned with AI development milestones. 4. Data Governance & Compliance Support * Support execution of AI data management practices including:

Russell Tobin

Real Estate Specialist

Los Angeles, CA · Remote

$48 - $52/hr

Licensed Real Estate Agent - AI Annotation Specialist (Contract Opportunity) 📍 Location: Los ... annotation tools • Experience managing complex processes and quality standards Key ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC

$56.08/hr

We are seeking an AI Data Annotation Training Data Contractor to join our dynamic team. The ideal ... Ability to work independently, manage priorities, and meet deadlines in a fast-paced environment.

Sunday

Data Annotation Lead

Redwood City, CA · On-site

This role involves managing the people side of data annotations, creating processes, and ensuring ... Sunday is a robotics startup that builds home robots that utilize AI to assist with household tasks.

Apple

Senior Manager - AI Data Operations

Austin, TX

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

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All JobsManager Ai Annotation Jobs

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 Jun 19, 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:
What job categories do people searching Manager Ai Annotation jobs look for? The top searched job categories for Manager Ai Annotation jobs are:
Manager Ai Annotation jobs near you
Infographic showing various Manager Ai Annotation job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 1% Part Time, 5% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $102,286 per year, or $49.2 per hour.
Data Manager - AI Development

Data Manager - AI Development

GE HealthCare

Remote

$94K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

GE HealthCare rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

59th of 418 rated machine equipment manufacturers

Job description

Job Description Summary
The Data Manager - AI Development is a key role within the AI Development team responsible for planning, coordinating, tracking, and governing data used to develop AI enabled medical device features. This role works closely with AI/ML engineers to define data needs for AI features, coordinates with internal and external data collection teams/clinical team, oversees annotation activities, and ensures data readiness, traceability, and compliance throughout the AI development lifecycle.
The role is execution focused and coordination driven, ensuring that the right data is available, prepared, and documented at the right time to support AI feature development, evaluation, and regulatory readiness. Strong planning, communication, and organizational skills are essential for success in this role.
Please note - this is a full time, onsite role located in Waukesha, WI.
Job Description
Roles and Responsibilities
Key Roles and Responsibilities
1. AI Data Planning & Requirements
  • Partner with AI/ML engineers and technical leads to define data requirements for AI features, including dataset scope, diversity, and usage intent.
  • Translate feature and model needs into clear data requirements that guide collection, annotation, and preparation activities.
  • Support creation and maintenance of AI data planning artifacts aligned with internal Quality Management System (QMS) requirements.

2. Data Collection Coordination
  • Coordinate with centralized and distributed data collection teams to support AI development needs.
  • Track data sourcing activities across multiple programs and stakeholders.
  • Maintain data collection dashboards that provide visibility into status, coverage, risks, and gaps.
  • Track data collection and annotation budget.

3. Annotation & Labeling Oversight
  • Coordinate data annotation activities with internal teams and external vendors.
  • Track annotation progress, throughput, and quality metrics.
  • Maintain annotation dashboards to ensure timely delivery aligned with AI development milestones.

4. Data Governance & Compliance Support
  • Support execution of AI data management practices including:
    • Data control planning
    • Data segregation between training, holdout, and testing datasets
    • Data preparation and inclusion criteria
    • Data traceability and usage documentation
  • Ensure datasets are properly documented and traceable to their original sources to support audits and regulatory submissions.
  • Act as a point of coordination to ensure data activities align with applicable QMS work instructions for AI development.

5. Program Tracking & Communication
  • Serve as the central coordination point for AI data activities across engineering, data operations, and program teams.
  • Proactively communicate status, risks, and dependencies to stakeholders.
  • Support planning reviews, design reviews, and readiness discussions with accurate data status reporting.

Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, Data Science, Biomedical Engineering, or a related technical discipline with 4 years of experience.
  • Experience in data management, data operations, or program coordination roles supporting technical or engineering teams.
  • Demonstrated ability to plan, track, and coordinate complex workflows across multiple stakeholders.
  • Strong written and verbal communication skills, with the ability to translate technical needs into actionable plans.
  • Experience creating and maintaining dashboards (eg. PowerBI, excel, smartsheet) trackers, or reports for operational visibility.
  • Familiarity with structured data workflows(eg. SQL), including data collection, annotation, and dataset organization(eg. Python).
  • Ability to work effectively in cross-functional teams within a regulated or quality-driven environment.

Desired Characteristics
  • Experience supporting AI / machine learning development teams, particularly in healthcare or medical devices.
  • Familiarity with AI data lifecycle concepts, including training, validation, and testing datasets.
  • Knowledge of medical imaging data formats and annotation tools (e.g., V7).
  • Exposure to regulated development environments (medical devices, healthcare software, or similar).
  • Understanding of data governance concepts such as data traceability, segregation, and controlled usage.
  • Experience coordinating external vendors or annotation partners.
  • Comfort working with ambiguity and evolving requirements in early-stage AI feature development.
  • Experience with Microsoft Forms

Why Join Us?
  • Be at the forefront of AI-driven healthcare innovation.
  • Collaborate with a multidisciplinary team passionate about improving patient outcomes.
  • Shape the future of regulatory processes for cutting-edge medical technologies.

We will not sponsor individuals for employment visas, now or in the future, for this job opening.For U.S. based positions only, the pay range for this position is $94,400.00-$141,600.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
Additional Information
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No
Application Deadline: June 11, 2026

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