Data Manager - AI Development
$94K - $141K/yr
Knowledge of medical imaging data formats and annotation tools (e.g., V7). * Exposure to regulated ... S. based positions only, the pay range for this position is $94,400.00-$141,600.00 Annual. It is ...
Data Manager - AI Development
$94K - $141K/yr
Knowledge of medical imaging data formats and annotation tools (e.g., V7). * Exposure to regulated ... S. based positions only, the pay range for this position is $94,400.00-$141,600.00 Annual. It is ...
Catalog Specialist, RCX
Bellevue, WA · On-site
... Perform data annotation required to train and evaluate ML models effectively • Support data ... Final starting pay will be based on factors including experience, qualifications, and location.
Catalog Specialist, RCX
Bellevue, WA · On-site
... Perform data annotation required to train and evaluate ML models effectively • Support data ... Final starting pay will be based on factors including experience, qualifications, and location.
Medical Data Entry
$20 - $22/hr
PACS Data Entry At NTT DATA, we know that with the right people on board, anything is possible. The ... This position may also be eligible for incentive compensation based on individual and/or company ...
Medical Data Entry
$20 - $22/hr
PACS Data Entry At NTT DATA, we know that with the right people on board, anything is possible. The ... This position may also be eligible for incentive compensation based on individual and/or company ...
Medical Insurance (subject to eligibility requirements) * Dental Insurance * Vision Insurance ... materials based on available information. These tools assist our recruitment team but do not ...
Medical Insurance (subject to eligibility requirements) * Dental Insurance * Vision Insurance ... materials based on available information. These tools assist our recruitment team but do not ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Quick apply
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
AI/ML Data Contributor
Chicago, IL · Remote
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Quick apply
AI/ML Data Contributor
Chicago, IL · Remote
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
AI/ML Data Contributor
Boise, ID · Remote
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Quick apply
AI/ML Data Contributor
Boise, ID · Remote
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Quick apply
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Quick apply
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Quick apply
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
AI/ML Data Contributor
Birmingham, AL · Remote
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Quick apply
AI/ML Data Contributor
Birmingham, AL · Remote
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Quick apply
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Quick apply
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
AI/ML Data Contributor
Fargo, ND · Remote
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Quick apply
AI/ML Data Contributor
Fargo, ND · Remote
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Quick apply
This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities * Perform AI/ML-related tasks such as data labeling, annotation, and content ...
Home Based Medical Data Annotation information
What are some common challenges faced by professionals working in home-based medical data annotation, and how can they be managed?
One common challenge in home-based medical data annotation is maintaining accuracy and consistency when labeling complex medical images or records, as errors can impact critical healthcare outcomes. Working remotely may also lead to feelings of isolation or difficulty staying updated with annotation guidelines. To manage these challenges, it's important to establish a quiet, dedicated workspace, participate in regular virtual team meetings, and utilize provided training resources. Staying engaged with peers through communication channels and seeking feedback from supervisors can also help ensure high-quality work and ongoing professional development.
What are the key skills and qualifications needed to thrive as a Home Based Medical Data Annotation Specialist, and why are they important?
To thrive as a Home Based Medical Data Annotation Specialist, you need a solid understanding of medical terminology, attention to detail, and experience with data labeling—often supported by a background in healthcare or life sciences. Familiarity with annotation platforms, EHR systems, and relevant data security protocols is typically required, and some employers may prefer certifications in medical coding or data management. Strong organizational skills, self-motivation, and effective written communication help individuals excel in remote, deadline-driven environments. These competencies ensure accurate, high-quality data labeling that is essential for developing reliable AI systems in healthcare.
What is the difference between Home Based Medical Data Annotation vs Home Based Medical Transcription?
| Aspect | Home Based Medical Data Annotation | Home Based Medical Transcription |
|---|---|---|
| Required Credentials | Basic medical knowledge, attention to detail | Medical terminology, transcription skills, sometimes certification |
| Work Environment | Remote, computer-based | Remote, computer-based |
| Industry Usage | AI training, data labeling for healthcare AI models | Converting audio to written reports for medical records |
| Common Search/Comparison | Yes | Yes |
Home Based Medical Data Annotation involves labeling medical images and data to train AI systems, requiring attention to detail and basic medical knowledge. In contrast, Home Based Medical Transcription focuses on converting audio recordings into written medical reports, often needing transcription skills and familiarity with medical terminology. Both roles are remote and industry-specific, but they serve different purposes within healthcare technology and documentation.
What is home based medical data annotation?
Home based medical data annotation involves labeling and categorizing medical data, such as images, audio, or text, from the comfort of your home. Annotators help train artificial intelligence (AI) systems by identifying and marking relevant information, such as highlighting tumors in X-rays or transcribing medical notes. This role is essential for improving the accuracy and efficiency of AI tools used in healthcare diagnostics, research, and patient care. Typically, it requires attention to detail, a basic understanding of medical terminology, and familiarity with annotation tools.
More about Home Based Medical Data Annotation jobs
What cities are hiring for Home Based Medical Data Annotation jobs? Cities with the most Home Based Medical Data Annotation job openings:
What are the most commonly searched types of Medical Data Annotation jobs? The most popular types of Medical Data Annotation jobs are:
What states have the most Home Based Medical Data Annotation jobs? States with the most job openings for Home Based Medical Data Annotation jobs include:
What job categories do people searching Home Based Medical Data Annotation jobs look for? The top searched job categories for Home Based Medical Data Annotation jobs are:
$94K - $141K/yr
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 17 days ago
GE HealthCare rating
8.5
Based on 133 frontline employees who took The Breakroom Quiz
61st of 419 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
2. Data Collection Coordination
3. Annotation & Labeling Oversight
4. Data Governance & Compliance Support
5. Program Tracking & Communication
Required Qualifications
Desired Characteristics
Why Join Us?
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
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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