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Ai Data Developer Jobs in Wisconsin (NOW HIRING)

Gehc

Data Manager - AI Development

Waukesha, WI

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 ...

Komatsu

Director, AI and Data

Milwaukee, WI · On-site

$193K - $250K/yr

Build, lead, and develop a high-performing team of data scientists, engineers, and analytics leaders * Champion ethical AI practices, data privacy, and compliance standards * Promote data literacy ...

Qualysoft

... Premise AI- und Data-Plattform zur Unterstutzung von Data-Science- und KI-Projekten ... DevOps Engineer oder vergleichbare Rolle Sehr gute Kenntnisse in Kubernetes / OpenShift ...

MLG Capital

Senior AI Engineer

Brookfield, WI · On-site

$97.90K - $134.50K/yr

Secure AI + data integrations using Microsoft-native services (Entra ID, Purview, Fabric/OneLake ... Partner with Data Engineering to ensure centralized, AI-ready data foundations in the Microsoft ...

MLG Capital

Senior AI Engineer

Brookfield, WI · Remote

$97.90K - $134.50K/yr

Secure AI + data integrations using Microsoft-native services (Entra ID, Purview, Fabric/OneLake ... Partner with Data Engineering to ensure centralized, AI-ready data foundations in the Microsoft ...

Deloitte

GCP Engineer

Milwaukee, WI · On-site +1

Work you'll do As a GCP Engineer on the AI & Data team, you will be responsible for... * Build, configure, and support GCP-based data lake and data platform environments, including integrations

Innovizant LLC

Data Scientist

Madison, WI

... data engineering and decision science to provide winning actionable insights assisting our ... MS in AI/Data Science would also be a plus. Qualifications Data Science, Analysis, Python, R ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... data engineering and decision science to provide winning actionable insights assisting our ... in AI/Data Science would also be a plus. Qualifications Data Science, Analysis, Python, R ...

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Ai Data Developer information

What is the difference between Ai Data Developer vs Data Scientist?

AspectAi Data DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI solutions into applicationsAnalyzes data, builds predictive models, interprets data trends
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and AI, Ai Data Developers focus on creating and deploying AI models within applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but differ mainly in their primary focus and application environment.

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Infographic showing various Ai Data Developer job openings in Wisconsin as of May 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 62% Physical, 1% Hybrid, and 37% Remote job distribution.
Data Manager - AI Development

Data Manager - AI Development

GE HealthCare

Waukesha, WI • On-site

Full-time

Posted 17 days ago

GE HealthCare rating

8.5

Company rating: 8.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

61st of 415 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.
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

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