Board-Certified Radiologist Medical Image Annotation
Use your radiology expertise to annotate diagnostic DICOM images for a structured medical dataset. This remote, flexible project pays $150 per hour for 5–15 hours weekly over 1–2 months.
Medical & Health
Remote Hourly · $150/hr
$150/hr
Compensation
1 country
Eligibility
Entry
Experience
Feb 27, 2025
Posted
Open to applicants in
United States
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Work remotely from the United States
About AI Training and Medical Image Annotation
AI training is the human side of building artificial intelligence. Specialists prepare and review examples so AI systems can recognize patterns, interpret information, and produce more useful results.
In medical imaging projects, expert reviewers apply structured labels to diagnostic images. Your radiology knowledge can help create high-quality datasets for further analysis, training, or research.
Contribute to cutting-edge AI work in radiology
Use your clinical expertise in a flexible consulting project
Work fully remotely with a schedule you set
The Role
OpenTrain AI is seeking US-based, board-certified radiologists to annotate diagnostic radiology images on a secure online platform. You will review medical DICOM images and apply structured labeling guidelines using classification and bounding-box annotations.
This contractor and part-time project is expected to last 1–2 months, with an estimated workload of 5–15 hours per week. The rate is $150 per hour, and prior data annotation experience is preferred but not required.
Role: Board-Certified Radiologist, Medical Image Annotation
Location: United States, fully remote
Pay: $150 per hour
Schedule: Flexible, with 5–15 hours per week
Project length: Approximately 1–2 months
Engagement: Part-time contractor
What You'll Do
You will work from provided instructions to label diagnostic images accurately and consistently. Detailed guidelines will be supplied, and the work will be completed through a secure web-based annotation platform.
Review diagnostic radiology images
Apply classification labels and bounding-box annotations
Support the creation of a structured medical imaging dataset
Maintain accuracy and attention to detail across annotations
Use a secure online platform for remote work
Required Qualifications
Applicants must meet the core qualifications below. The role requires professional radiology expertise, but previous experience with data annotation is not mandatory.
US board certification in radiology through the ABR or AOBR
Basic computer proficiency and ability to use online annotation tools
Strong attention to detail
Ability to follow structured labeling guidelines
Secure and reliable internet connection for remote work
Availability for 5–15 hours per week over the next 1–2 months
Preferred Experience and Screening
Previous data annotation or labeling experience is helpful but not required. OpenTrain may ask about your clinical background, technical workflow, and familiarity with radiology standards during screening.
Experience with data annotation, labeling, or dataset creation
Familiarity with AI or machine learning applications in radiology
Experience working with structured datasets
Strong written communication for documentation
Active medical license in a US state, if applicable
Experience with X-ray, CT, MRI, ultrasound, or other imaging modalities
Medical research or AI project experience related to radiology
Familiarity with BI-RADS, PI-RADS, or LI-RADS
Experience using annotation tools or PACS systems
Who Should Apply
This opportunity is suited to board-certified radiologists seeking flexible additional consulting work or a side project that uses their medical imaging expertise. It can also suit professionals interested in contributing to AI and structured dataset development without requiring previous annotation experience.
Board-certified radiologists with diagnostic imaging experience
Radiologists who value flexible, remote project work
Medical experts interested in AI training and research datasets
Candidates who can apply detailed guidelines consistently
How to Apply Through OpenTrain
Apply through OpenTrain by creating a free account and submitting your profile. Be prepared to confirm your ABR or AOBR board certification, describe your radiology experience and commonly interpreted modalities, and answer questions about annotation, AI, web-based tools, availability, and remote-work readiness.
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