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Medical Image Annotation Jobs (NOW HIRING)

Avanciers Inc.

Dental Specialist

Manhattan, NY · Remote

Key Responsibilities Image Annotation Identify tooth regions using polygon tools Classify tooth ... while handling sensitive medical data Qualifications Licensed Dental Doctor (DDS/DMD) with ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... in medical scans, disease risk stratification, image synthesis, text report mining, and more! We ... Provide insights to data collection and annotation and collaborate with the data team for in-house ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... in medical scans, disease risk stratification, image synthesis, text report mining, and more! We ... Provide insights to data collection and annotation and collaborate with the data team for in-house ...

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Medical Image Annotation information

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$15

$37

$57

How much do medical image annotation jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for medical image annotation in the United States is $37.30, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $46.39 per hour, depending on experience, location, and employer.

What is medical image annotation?

Medical image annotation is the process of labeling or marking specific structures, regions, or abnormalities in medical images such as X-rays, CT scans, or MRIs. These annotations are crucial for training artificial intelligence (AI) models to assist in diagnostics, research, and treatment planning. Expert annotators, often with medical backgrounds, use specialized software to ensure accuracy and consistency. This work helps improve the performance of AI systems in identifying diseases and supporting healthcare professionals.

What are some common challenges faced by professionals in medical image annotation roles, and how can they be addressed?

Medical image annotation professionals often encounter challenges such as interpreting complex or ambiguous images, ensuring consistency across annotations, and keeping up with evolving medical guidelines. To address these challenges, many teams implement standardized protocols, regular training sessions, and peer review systems to maintain accuracy and reliability. Collaboration with radiologists and other medical experts is also common, allowing annotators to clarify uncertainties and improve the quality of annotations over time.

What is the difference between Medical Image Annotation vs Medical Data Labeling?

AspectMedical Image AnnotationMedical Data Labeling
Required CredentialsBasic understanding of medical imaging, attention to detailSimilar, often no formal certification needed
Work EnvironmentMedical imaging platforms, annotation toolsData management systems, labeling software
Industry UsageHealthcare, medical AI developmentHealthcare, medical AI, data analysis
Search & Comparison IntentYes, often compared for AI training rolesYes, related but broader in data types

Medical Image Annotation involves marking specific regions or features in medical images like X-rays or MRIs to train AI models. Medical Data Labeling encompasses annotating various medical data types, including images, text, and reports. While both roles support medical AI development, Image Annotation is specialized in visual data, whereas Data Labeling covers a wider range of medical information.

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

To excel as a Medical Image Annotation Specialist, you need a solid understanding of medical imaging modalities, anatomy, and basic clinical terminology, often supported by relevant education or experience in healthcare or life sciences. Familiarity with annotation software, image processing tools, and sometimes specialized platforms like DICOM viewers is typically required. Attention to detail, precision, and effective communication are crucial soft skills for ensuring accuracy and collaborating with clinical or research teams. These competencies are vital because high-quality, accurate annotations directly impact the development of AI models and the reliability of diagnostic tools in healthcare.
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Medical Image Annotation jobs near you
Infographic showing various Medical Image Annotation job openings in the United States as of May 2026, with employment types broken down into 8% As Needed, 76% Full Time, 8% Part Time, and 8% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $77,580 per year, or $37.3 per hour.

Dental Specialist

Avanciers Inc.

Manhattan, NY • Remote

Full-time

Medical, Dental, Vision

Posted 13 days ago

Job description

Avanciers is seeking a highly skilled Dental Imaging Annotation Specialist for an exciting opportunity with one of our Fortune 500 clients. Work Model: Fully Remote (Anywhere in the U.S.). Employment Type: Contract.

About the Role We are seeking highly skilled and licensed Dental Doctors (DDS/DMD) with expertise in interpreting dental X-rays to contribute to an advanced AI‐driven healthcare initiative . Selected candidates will annotate dental periapical images to train AI models, supporting clinical decision‐making and diagnostic accuracy. Key Responsibilities Image Annotation Identify tooth regions using polygon tools Classify tooth numbers (1–32 permanent, A–T primary) Indicate presence of furcation and root canal Annotate enamel, dentin, pulp, and caries using polygon tools Mark CEJ (Cementoenamel Junction), ABC (Alveolar Bone Crest), and APEX using point tools Restoration Project Identify restorations (Onlay, Crown, Filling, Bridge, Implant, Root Canal) using polygon tools Maintain annotation accuracy and consistency based on defined standards and examples Collaborate with project leads to meet quality and timeline requirements Ensure confidentiality and compliance while handling sensitive medical data Qualifications Licensed Dental Doctor (DDS/DMD) with hands‐on experience reading and interpreting dental X‐rays Strong knowledge of dental anatomy, pathology, and restorative procedures High attention to detail with excellent visual analysis skills Prior experience with image annotation tools preferred Ability to work independently and efficiently in a remote environment Total Images: ~5,000 periapical images Annotation Scope: Each image annotated across Tooth Analogy, Pathology, and Restoration projects Estimated Time per Image: First500 images: Up to20 minutes each Remaining4,500 images: ~10 minutes each Seniority Level Associate Employment Type Contract Job Function Health Care Provider, Customer Service, and Business Development Industries Hospitals and Health Care, Health and Human Services, and Retail Health and Personal Care Products #J-18808-Ljbffr

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