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Telecommute Medical Data Annotation Jobs (NOW HIRING)

Gehc

Data Manager - AI Development

Waukesha, WI · On-site

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 ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

... Perform data annotation required to train and evaluate ML models effectively • Support data ... Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) ...

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Telecommute Medical Data Annotation information

What are the key skills and qualifications needed to thrive as a Telecommute Medical Data Annotation Specialist, and why are they important?

To thrive as a Telecommute Medical Data Annotation Specialist, you need a solid understanding of medical terminology, attention to detail, and experience in data labeling or healthcare-related fields. Familiarity with annotation platforms, EHR systems, and relevant compliance certifications like HIPAA are typically required. Strong organizational skills, self-motivation, and effective remote communication set individuals apart in this remote role. These competencies ensure precise, confidential, and efficient annotation of medical data, which is crucial for supporting AI development and maintaining data integrity.

What are some common challenges faced when working remotely as a medical data annotation specialist?

As a telecommute medical data annotation specialist, one common challenge is maintaining accuracy and consistency while labeling complex medical data, especially when interpreting clinical terminology or ambiguous imaging. Working remotely can also make it harder to quickly clarify doubts or seek feedback from colleagues or supervisors, so strong communication skills and proactive outreach are important. Additionally, staying updated with evolving annotation guidelines and managing distractions at home are key factors in ensuring high-quality work.

What is telecommute medical data annotation?

Telecommute medical data annotation is the process of labeling and categorizing medical data—such as images, text, or audio—from a remote location, typically from home. This work helps train artificial intelligence and machine learning models used in healthcare, such as diagnostic tools or automated medical record systems. Annotators might identify features in radiology images, tag medical terms in documents, or classify audio recordings of doctor-patient interactions. The job requires strong attention to detail and a good understanding of medical terminology. Working remotely, annotators use specialized software provided by employers to complete their tasks securely.
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Telecommute Medical Data Annotation jobs near you
Infographic showing various Telecommute Medical Data Annotation job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 63% Full Time, 25% Part Time, and 11% Contract. Highlights an 71% Physical, 5% Hybrid, and 24% Remote job distribution.

Data Manager - AI Development

Gehc

Waukesha, WI • On-site

Full-time

Posted 23 days ago

Job description

Job Description SummaryThe 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 crossfunctional teams within a regulated or qualitydriven 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 earlystage 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 anEqual 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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