Radiology Imaging Workflow Reviewer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for flexible work in AI training and data labeling. We help specialists apply their professional knowledge to projects that improve how modern AI systems understand and evaluate real-world information.

This remote, part-time contractor opportunity offers 20+ hours per week at $100-$130 per hour. You will contribute specialized radiology and medical-imaging expertise to AI training and evaluation work.

• Contractor engagement
• Part-time schedule with 20+ hours per week
• Remote work
• Pay range: $100-$130 per hour
• English-language role

About AI Training and Medical Imaging Review

AI training is the human side of building artificial intelligence. Subject-matter experts review examples, assess model outputs, and provide carefully documented judgments so AI systems can perform more reliably.

In this role, your radiology workflow knowledge will help evaluate whether imaging records, findings, measurements, statuses, and recommendations are supported by the available study evidence.

• Apply clinical-imaging expertise to cutting-edge AI evaluation
• Review evidence with an emphasis on accuracy and traceability
• Help create clearer, more reliable training data for medical AI systems

The Radiology Imaging Workflow Reviewer Role

OpenTrain is seeking a Radiology Imaging Workflow Reviewer to assess medical imaging records and workflow evidence for AI training and evaluation. You will use Visage 7 concepts and related imaging-system context to determine what a current study confirms, what comes from prior reports, and whether a case is ready for the next reviewer or final sign-off.

The work includes current and recently completed professional use of Visage 7, along with careful review of patient and study histories, report status, DICOM metadata, protocol configuration, structured decision-support tools, and audit trails.

• Review patient and study records, including partial and handed-off cases
• Assess medical imaging workflow evidence for AI training and evaluation
• Determine whether cases are ready for further review or final sign-off
• Distinguish current-study findings from information carried forward from prior reports

What You’ll Do

You will compare recorded findings with the available study evidence and document conclusions clearly for subsequent reviewers. Your assessments should make open items, workflow status, and compliance-relevant outcomes easy to understand and audit.

You will also evaluate the difference between working measurements or annotations and entries in signed, finalized reports. The role requires tracking a study through its lifecycle, from worklists and interpretation through report generation, signing, and addenda.

• Review findings in patient and study records for accuracy and support
• Use structured tools such as TI-RADS and O-RADS to grade findings
• Document appropriate follow-up recommendations
• Distinguish preliminary measurements and annotations from signed final reports
• Assess study status across worklists, interpretation, report generation, signing, and addenda
• Check protocol, hanging-protocol, and DICOM metadata context
• Record conclusions, open items, and compliance-relevant outcomes
• Explain why a finding, status, or recommendation is supported by the available evidence

Required Qualifications and Experience

This role is listed at the entry level, while its specialized requirements call for meaningful professional imaging experience. You must have used Visage 7 at least weekly in a current or recent professional role and have at least two years of experience in radiology, medical imaging, or a related clinical-imaging function.

A relevant clinical degree or certification, such as radiology board certification or ARRT, is expected. Equivalent hands-on PACS and imaging experience may also qualify.

• Visage 7 use at least weekly in a current or recent professional role
• At least two years of radiology, medical imaging, or related clinical-imaging experience
• Practical skill with imaging measurements, MPR, and volume rendering
• Working knowledge of structured reporting and preliminary-versus-final report distinctions
• Familiarity with study handoffs and relevant reporting or accreditation standards
• Relevant clinical degree or certification, such as radiology board certification or ARRT, or equivalent hands-on PACS and imaging experience

Helpful Background

Additional experience with imaging-record connections, workflow configuration, and audit processes will support your work. Strong attention to record accuracy is especially important when evaluating incomplete, handed-off, or compliance-sensitive cases.

• Patient and prior-study linking
• Follow-up flags
• Protocol configuration
• DICOM metadata
• EHR or RIS integration
• Radiology audit or compliance workflows
• Clear explanation of evidence supporting findings and recommendations

Why Work With OpenTrain

AI training and data-labeling work is a growing way for specialists to contribute directly to how advanced AI systems are built. OpenTrain gives professionals a place to develop a credible AI training portfolio while applying their existing expertise to flexible remote projects.

Your radiology background can help shape systems that must interpret complex medical-imaging workflows accurately. Creating an OpenTrain account is free, and candidates can apply through OpenTrain for this contractor opportunity.

• Remote work with flexible part-time availability
• Use specialized clinical-imaging expertise in AI development
• Build a durable portfolio of AI training experience
• Work 20+ hours per week at $100-$130 per hour