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Medical Data Annotation Jobs (NOW HIRING)

Micro1

Medical Doctor

Manhattan, NY ยท Remote

Medical Doctor Job Type: Contract (Full-time or Part-time) Location: Remote Job Summary Join our ... Preferred Qualifications Familiarity with data annotation, healthcare informatics, or AI/machine ...

New

micro1

Medical Doctor

Manhattan, NY ยท Remote

Medical Doctor Job Type: Contract (Full-time or Part-time) Location: Remote Job Summary Join our ... Preferred Qualifications Familiarity with data annotation, healthcare informatics, or AI/machine ...

New

Alignerr

Medical Science Liaison (MSL)

Dallas, TX ยท Remote

No prior AI or data annotation experience required Nice to Have * Prior experience with data annotation, content evaluation, or quality review workflows * Familiarity with AI tools or language model ...

GE

Data Manager - AI Development

Waukesha, WI ยท 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 ...

GE HealthCare

Data Manager - AI Development

Waukesha, WI ยท 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 ...

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How much do medical data annotation jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for medical data annotation in the United States is $22.32, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $22.84 per hour, depending on experience, location, and employer.

What is a Medical Data Annotation job?

A Medical Data Annotation job involves labeling and categorizing medical data, such as patient records, medical images, and clinical notes, to help train artificial intelligence (AI) models. Annotators ensure that AI systems can accurately interpret medical information by applying domain-specific knowledge and following strict guidelines. This role requires attention to detail, familiarity with medical terminology, and sometimes collaboration with healthcare professionals to ensure accuracy.

What are the key skills and qualifications needed to thrive in the Medical Data Annotation position, and why are they important?

To thrive in Medical Data Annotation, you need a solid understanding of medical terminology, attention to detail, and familiarity with clinical or healthcare data formats, often backed by relevant coursework or experience in healthcare or life sciences. Proficiency with data annotation platforms, medical coding software, and sometimes certifications like HIPAA compliance are highly valued. Strong communication skills, a high level of accuracy, and the ability to work both independently and collaboratively set standout candidates apart. These skills help ensure data integrity and support the development of reliable AI-powered healthcare solutions.

What are the typical challenges faced in Medical Data Annotation roles?

One of the main challenges in Medical Data Annotation is accurately interpreting complex medical information and ensuring consistency across large datasets. Annotators often work with sensitive patient data, so maintaining confidentiality and adhering to strict data security protocols is essential. The work can be repetitive and detail-oriented, but it is crucial for training reliable medical AI systems. Successful Medical Data Annotation professionals stay motivated by understanding the impact of their work on advancing medical research and patient care.
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