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Medical Image Annotation Jobs (NOW HIRING)

HSS

Research Intern

New York, NY · On-site

$20 - $23.75/hr

What You'll Learn • Fundamentals of musculoskeletal MRI anatomy • How AI segmentation models are trained and validated in a clinical setting • Practical experience with medical image annotation ...

Metova Federal

Training Solutions Intern

Orlando, FL

$14 - $18.75/hr

Image Annotation for Computer Vision Training (Primary Duty): * Annotate images and video frames ... Medical, Dental & Vision Coverage * Wellness Program * 401(k) Matching * Disability (Short Term ...

Metova Federal

Training Solutions Intern

Orlando, FL · On-site

$14 - $18.75/hr

Image Annotation for Computer Vision Training (Primary Duty): * Annotate images and video frames ... Medical, Dental & Vision Coverage * Wellness Program * 401(k) Matching * Disability (Short Term ...

Metova Federal

Training Solutions Intern

Orlando, FL

$14 - $18.75/hr

Image Annotation for Computer Vision Training (Primary Duty): * Annotate images and video frames ... Medical, Dental & Vision Coverage * Wellness Program * 401(k) Matching * Disability (Short Term ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA

... 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 ...

Intuitive

Mgr Clinical Data

Sunnyvale, CA

The Ion R&D team is looking for an experienced leader to own medical image dataset development. You will build and scale a high-performing organization of internal annotation specialists and external ...

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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 26, 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.
More about Medical Image Annotation jobs
What cities are hiring for Medical Image Annotation jobs? Cities with the most Medical Image Annotation job openings:
What states have the most Medical Image Annotation jobs? States with the most job openings for Medical Image Annotation jobs include:
What job categories do people searching Medical Image Annotation jobs look for? The top searched job categories for Medical Image Annotation jobs are:
Medical Image Annotation jobs near you
Infographic showing various Medical Image Annotation job openings in the United States as of June 2026, with employment types broken down into 40% Internship, 10% As Needed, 10% Full Time, 30% Part Time, and 10% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $77,580 per year, or $37.3 per hour.
Data Annotator / Geospatial Annotation Specialist

Data Annotator / Geospatial Annotation Specialist

Aechelon Technology

South San Francisco, CA

$82K - $92K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

The Data Annotator / Geospatial Annotation Specialist plays a critical role in the creation of high-quality training datasets used to develop and refine Aechelon's machine learning and computer vision models. This role supports both the Advanced Model Development Group and the Applied Real-Time Vision Group, ensuring datasets for object detection, segmentation, and classification are accurate, consistent, and production-ready.
The Specialist performs detailed vector annotation, image segmentation, and dataset preparation while adhering to strict quality standards. Because model performance is highly dependent on high-quality annotation, this role requires exceptional attention to detail and a strong understanding of geospatial imagery.
In addition to dataset creation, the Specialist will learn core machine learning concepts and gain experience operating inference tools and models within the DAML pipeline, becoming a direct contributor to model evaluation and workflow improvements.

Key Responsibilities
  • Create precise vector annotations and segmentation masks for training computer vision and object detection models.
  • Perform detailed image segmentation, manually labeling features across large and varied imagery datasets.
  • Follow established annotation guidelines and maintain consistency across global AOIs.
  • Validate and refine automated detection outputs; correct errors or incomplete detections.
  • Work with ML team to understand annotation needs, edge cases, and quality thresholds.
  • Learn how to operate model inference tools and assist in evaluating model performance.
  • Provide feedback on false positives/negatives, detection weaknesses, and annotation ambiguities.
  • Maintain structured documentation of annotation processes, datasets, feature definitions, and QA results.
  • Support improvements to dataset pipelines and annotation workflows through iterative refinement and testing.
  • Assist multiple DAML groups as needed, depending on dataset demands and model development cycles.
Required Qualifications
  • Background in GIS, Remote Sensing, Image Analysis, Digital Art, Photography, or related field (degree preferred but not required with strong experience).
  • Prior experience with image annotation, data labeling, GIS feature extraction, or segmentation workflows.
  • Ability to visually identify subtle features in imagery with extreme precision.
  • Strong analytical, organizational, and documentation skills.
  • Ability to work with large datasets for extended periods while maintaining accuracy and focus.
Required Skills and Tools
  • Adobe Photoshop (Advanced): Expertise in mask creation, polygon tracing, color differentiation, clean-up workflows, and segmentation editing.
  • GIS Tools (Intermediate+): Ability to work in QGIS, ERDAS Imagine, or Global Mapper for spatial visualization and annotation support.
  • Geospatial Data Handling: Ability to work with shapefiles, GeoPackages, raster datasets, and other formats used in ML workflows.
  • Python (Basic-Intermediate): Ability to run scripts, perform data checks, and assist with pre-processing tasks.
  • Documentation Tools: Proficiency using Jupyter Notebook and Git for tracking annotation notes and revisions.

Strongly Desired Skills and Tools

  • Experience creating training datasets for machine learning, object detection, or image segmentation models.
  • Familiarity with YOLO, PyTorch, or fast.ai (conceptual knowledge acceptable).
  • Ability to create simple scripts to automate annotation steps or pre-processing tasks.
  • Experience using ChatGPT or other LLMs to improve workflows, generate helper scripts, or automate documentation.
  • Understanding of geospatial features such as vegetation, buildings, vehicles, aircraft, or other runtime elements.
Reporting Expectations

The Specialist reports jointly to managers in the Advanced Model Development and Applied Real-Time Vision groups depending on project assignment. Regular updates are expected on dataset progress, annotation quality, workflow blockers, and model evaluation findings. The Specialist is expected to meet annotation quotas while maintaining strict accuracy and quality standards.

Compensation

$82,000 - 92,000 / year 

The above range is specific to CALIFORNIA and may not be applicable to other locations. Final compensation is based on factors such as the candidate's skills, qualifications, and experience. 

 We offer a very attractive compensation package including competitive base salary, company performance-based profit sharing, 401k, 100% employer paid health benefits (medical, dental, vision, life, std, ltd, and life insurance plans). 

No relocation reimbursement provided. 

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