Board-Certified Radiologist – Medical Image Annotation

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About AI Training Work in Medical Imaging

AI training (also called data labeling or annotation) is the human work that helps machine-learning models learn from examples. In medical imaging projects, radiologists provide the expert labels and reviews that make clinical datasets accurate and useful for analysis, research, or model development.

This project uses annotated DICOM images to build a structured dataset. Your work will directly affect data quality and downstream research or model performance.

• Human expertise ensures models interpret clinical images safely and accurately.
• Typical tasks include drawing bounding boxes, assigning classification labels, and following strict annotation guidelines.

The Role

We are seeking US-based, board-certified radiologists (ABR or AOBR) to annotate diagnostic radiology images. This is a fully remote, work-from-home contractor role with flexible hours, ideal as consulting or side work.

Project details: expected duration 1–2 months, workload about 5–15 hours per week, paid hourly at $150 USD per hour. Work is done on a secure online platform and detailed instructions will be provided.

• Employment type: Contractor, part-time.
• Data type: Medical DICOM images.
• Label types: Bounding box and classification.
• Labeling software: Web-based platform (OTHER).

What You'll Do

You will review diagnostic radiology images and apply labels according to provided, structured guidelines. Accuracy and consistency are essential to produce high-quality dataset annotations.

• Review DICOM images and identify regions of interest using bounding boxes.
• Apply classification labels per the project's codebook and criteria.
• Follow step-by-step instructions and maintain consistent application of labeling rules.
• Document decisions and flag ambiguous cases for review when required.

Requirements

Candidates must meet the minimum qualifications listed below. Preferred qualifications are helpful but not required.

• Must-have: US board certification in radiology (ABR or AOBR).
• Must-have: Reside in the United States.
• Must-have: Experience interpreting diagnostic radiology images.
• Must-have: Basic computer proficiency and ability to use web-based annotation tools.
• Must-have: Strong attention to detail and ability to follow structured labeling guidelines.
• Preferred: Previous experience with image annotation, labeling, or dataset creation.
• Preferred: Familiarity with AI/ML applications in radiology and structured datasets.
• Preferred: Strong written communication for documentation.

Screening & Interview Questions

To assess fit, applicants will be asked to confirm credentials and experience and to answer specific clinical and technical questions. Below are the screening topics we will cover.

• Board Certification & Licensing: Are you currently board-certified in radiology by the ABR or AOBR? Do you hold an active medical license in any US state?
• Work & Clinical Experience: How many years have you worked as a radiologist? Which imaging modalities do you most commonly interpret (e.g., X-ray, CT, MRI, ultrasound)? Have you participated in research or AI projects related to radiology?
• Data Annotation & AI Knowledge: Have you worked on image annotation, labeling, or dataset creation? Are you familiar with structured reporting standards (BI-RADS, PI-RADS, LI-RADS)? Which annotation tools or PACS systems have you used?
• Technical & Workflow Compatibility: Are you comfortable using web-based annotation platforms? Do you have a secure, reliable internet connection? Are you available for at least 5–15 hours per week for the next 1–2 months?

Who Should Apply

This project is suited to licensed, board-certified radiologists in the US who want flexible, remote consulting work. It is well suited to clinicians seeking short-term, part-time engagements that leverage diagnostic imaging expertise.

Prior annotation experience is a plus but not required—careful clinicians who follow structured instructions are encouraged to apply.

How It Works

Apply through OpenTrain to submit your credentials and answers to screening questions. Selected candidates will complete a brief interview or skills check and receive onboarding with the project's secure annotation platform.

Work is tracked on the platform and you will be paid hourly at the stated rate. Detailed labeling guidelines and support will be provided during the 1–2 month project.

• Apply: Create a free OpenTrain account and submit your application.
• Screening: Confirm board certification, clinical experience, and availability.
• Onboarding: Receive project instructions and platform access.
• Work: Complete annotations remotely, 5–15 hrs/week for 1–2 months.
• Payment: Contractor, hourly rate $150 USD per hour.