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Freelance Medical Data Annotation Jobs (NOW HIRING)

Gehc

Data Manager - AI Development

Waukesha, WI

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) ...

Perle AI

Freelance Audio Contributor - US English

... Freelance Audio Contributors. This is your chance to be on the front lines of how AI learns to ... Prior experience in transcription, voice work, or data annotation is a plus but not required Why ...

Amazon

Machine Learning Data Linguist, Alexa AI

Seattle, WA · On-site

$130K - $156K/yr

This role focuses on language data, primarily in the areas of text annotation and general data ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Cartesia

Human Data Operations Manager

San Francisco, CA · On-site

$160K - $190K/yr

Own relationships with vendors such as data annotation firms and contractor platforms, negotiating ... Fully covered medical insurance along with dental and vision for you and your family. 401(k) ...

Sesame

Technical Program Manager, Data

San Francisco, CA · On-site

$200K - $260K/yr

Lead audio data collection and annotation efforts at Sesame. * Collaborate with research and ... Flexible spending account with employer matching up to $1,650/year (medical FSA) * Guardian ...

Sigma Group

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Sigma is a leading global technology company specializing in data collection and annotation for ... for freelancers under a commercial contract . Connectivity & Accessories: * Stable internet ...

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Freelance Medical Data Annotation information

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How much do freelance medical data annotation jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for freelance medical data annotation in the United States is $17.92, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance Medical Data Annotator, and why are they important?

To thrive as a Freelance Medical Data Annotator, you need a solid understanding of medical terminology, attention to detail, and experience with data labeling or annotation, often supported by a background in healthcare or life sciences. Familiarity with annotation platforms, electronic health record (EHR) systems, and relevant data security standards is typically required. Strong organizational skills, self-motivation, and clear communication are important soft skills for meeting deadlines and collaborating remotely. These abilities ensure high-quality, accurate data annotations that are crucial for developing reliable healthcare AI models and research outcomes.

What are some common challenges faced by freelance medical data annotators and how can they be managed?

Freelance medical data annotators often encounter challenges such as understanding complex medical terminology, ensuring high annotation accuracy, and maintaining data privacy. Since projects may involve a variety of medical data types (like radiology images or clinical notes), it's important to stay updated on medical guidelines and annotation best practices. Effective time management, attention to detail, and regular communication with project managers or medical experts can help address these challenges and ensure quality work. Additionally, using secure platforms and adhering to confidentiality agreements is essential for protecting patient information.

What is the difference between Freelance Medical Data Annotation vs Freelance Medical Transcription?

AspectFreelance Medical Data AnnotationFreelance Medical Transcription
CredentialsBasic medical knowledge, attention to detailMedical terminology familiarity, typing skills
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageAI training, data labeling for healthcareTranscribing doctor-patient recordings
Search & Comparison IntentData labeling vs transcription tasks

Freelance Medical Data Annotation involves labeling and tagging medical images or data for AI models, requiring medical knowledge and attention to detail. Freelance Medical Transcription focuses on converting audio recordings into written reports, emphasizing typing skills and medical terminology familiarity. Both roles are remote and essential in healthcare, but they serve different purposes in medical data processing and documentation.

What is freelance medical data annotation?

Freelance medical data annotation involves labeling or tagging medical data—such as images, text, or audio—to make it usable for artificial intelligence and machine learning models. Annotators may work with radiology images, pathology slides, electronic health records, or clinical notes, identifying and marking relevant features according to specific guidelines. This work is typically project-based and done remotely, requiring attention to detail and, often, some background in healthcare or life sciences. Freelancers collaborate directly with medical researchers, healthcare companies, or AI firms to help train and validate algorithms that improve medical diagnostics and research.
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Freelance Medical Data Annotation jobs near you
Infographic showing various Freelance Medical Data Annotation job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $37,275 per year, or $17.9 per hour.
Data Manager - AI Development

Data Manager - AI Development

GE HealthCare

Waukesha, WI • On-site

Full-time

Posted 26 days ago

GE HealthCare rating

8.5

Company rating: 8.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

59th of 417 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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