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Medical Annotator Jobs (NOW HIRING)

Develop and implement monitoring frameworks to track evaluation progress, annotator performance ... Benefits package - medical insurance, vision, dental, etc. * Corporate social events * Professional ...

Develop and implement monitoring frameworks to track evaluation progress, annotator performance ... Benefits package - medical insurance, vision, dental, etc. * Corporate social events * Professional ...

Analyze trends across projects to identify patterns in annotator performance, task complexity, and ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Analyze trends across projects to identify patterns in annotator performance, task complexity, and ... Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and ...

Experience as a Detailer, Draftsperson, Annotator or related role in mechanical or plumbing design ... Competitive salary * 100% company-paid health insurance for employee/employee & family (medical ...

You will provide medical and scientific oversight for dataset curation, annotation strategy, and ... You will also help manage and train annotator teams to ensure quality, consistency, and scalability ...

You will provide medical and scientific oversight for dataset curation, annotation strategy, and ... You will also help manage and train annotator teams to ensure quality, consistency, and scalability ...

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Medical Annotator information

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$13

$76

$192

How much do medical annotator jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for medical annotator in the United States is $76.10, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $192.31 per hour, depending on experience, location, and employer.

What are medical annotators?

Medical annotators are professionals who label and categorize medical data—such as images, clinical notes, or audio recordings—to help train artificial intelligence (AI) and machine learning models. Their work ensures that datasets used for developing healthcare technologies are accurate and reliable. Medical annotators often have backgrounds in healthcare, life sciences, or data science, and must be detail-oriented to correctly interpret complex medical information. Their contributions are essential for improving diagnostic tools, automating administrative tasks, and advancing medical research.

What are the typical challenges Medical Annotators face when working with complex clinical data?

Medical Annotators often encounter challenges such as deciphering handwritten notes, interpreting ambiguous medical terminology, and ensuring consistency across large datasets. These challenges require strong attention to detail, familiarity with medical language, and the ability to collaborate with healthcare professionals for clarification. Staying updated on annotation guidelines and maintaining data privacy are also crucial aspects of the role. Overcoming these obstacles is essential for producing high-quality annotated data that supports accurate medical research and AI model development.

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

To thrive as a Medical Annotator, you need a solid understanding of medical terminology, anatomy, and clinical documentation, often supported by a background in healthcare or life sciences. Familiarity with annotation tools, electronic health records (EHR) systems, and relevant software like Natural Language Processing (NLP) platforms is typically required. Strong attention to detail, analytical thinking, and effective communication are crucial soft skills in this role. These competencies ensure the accurate labeling of medical data, which is vital for developing reliable AI models and supporting clinical research.

What is the difference between Medical Annotator vs Medical Coder?

AspectMedical AnnotatorMedical Coder
CredentialsTypically requires a healthcare or medical background, sometimes certification in medical terminologyRequires coding certifications like CPC, CCS, or CCS-P
Work EnvironmentOften works in research, AI training, or data annotation settings within healthcare or tech companiesPrimarily works in hospitals, clinics, or billing companies
Industry UsageUsed in medical research, AI development, and data annotation projectsUsed in medical billing, coding, and reimbursement processes

While both roles involve healthcare data, Medical Annotators focus on labeling and annotating medical information for research and AI training, whereas Medical Coders translate medical records into standardized codes for billing and documentation. The roles share some healthcare knowledge requirements but differ in their primary functions and work environments.

More about Medical Annotator jobs
What cities are hiring for Medical Annotator jobs? Cities with the most Medical Annotator job openings:
What states have the most Medical Annotator jobs? States with the most job openings for Medical Annotator jobs include:
Infographic showing various Medical Annotator job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $158,293 per year, or $76.1 per hour.

Data Annotator / Data Labeling Specialist

Tata Consultancy Service Limited

Charlotte, NC • On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

Must Have Technical/Functional Skills
Data Annotator / Data Labeling Specialist, Agile concepts, CI/CD
10+ years experience
Roles & Responsibilities
• Accurately label text, image, audio, or structured data based on project-specific guidelines.
• Follow annotation taxonomy and definitions consistently across tasks and datasets.
• Perform quality checks, resolve ambiguities, and flag edge cases for guideline refinement.
• Meet productivity and accuracy SLAs while maintaining high attention to detail.
• Use annotation tools/platforms effectively and report tool or data issues promptly.
• Participate in calibration sessions to align with reviewers and improve inter-annotator agreement.
• Document annotation decisions and examples to support standardization and training.
• Rework rejected samples based on QA feedback and maintain continuous quality improvement.
• Handle sensitive/confidential data according to privacy and security policies.
• Track task progress, throughput, and quality metrics in assigned dashboards.
• Collaborate with ML engineers and linguists/domain experts to improve labeling frameworks.
• Support dataset curation activities such as deduplication, filtering, and metadata tagging.
• Basic understanding of data annotation tools (Labelbox, CVAT, VGG, etc.)
• Familiarity with:
o Image annotation
o NLP data labeling
o Data categorization techniques
• Basic computer skills (Excel, Google Sheets)
• Ability to follow structured guidelines precisely
Generic Managerial Skills, If any
• Proactive and result-oriented leader, adept in mentoring and motivating the dynamic team to exemplary performance.
• Strong communication, collaboration, and team building skills with proficiency in grasping new technical concepts quickly.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $110,000-$125,000 a year