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US Board-Certified Radiologist with 5+ Years of Experience – MRI Data Annotation Project (MDR00331)

United States

Project summary

We are seeking U.S.-based, ABR-Certified Diagnostic Radiologists with strong expertise in MRI interpretation to contribute to a high-impact image quality assessment study. This project focuses on generating precise, expert-labeled data evaluating diagnostic suitability and artifact visibility across a diverse set of MR volumes.

In this role, radiologists will independently review MR studies, assign structured quality ratings, and annotate visible artifacts using a bounding box tool within a standardized workflow. Your contributions will directly support the development and validation of advanced AI models designed to enhance MR image quality assessment—helping shape the future of radiologic diagnostics.

Project details

Eligibility: U.S.-based, American Board Certified Diagnostic Radiologists with ≥5 years of experience interpreting MRI
Workload: 120 MRI scans
- 20 cases for the pilot phase
- 100 cases for the main phase
Estimated Time per Case: ~5 minutes
Total Time Commitment: ~8–10 hours
Timeline: Scheduled to begin April 27 and expected to conclude within two (2) weeks, by May 11
Mode: Fully remote and asynchronous; all work completed using the client’s proprietary annotation platform
Workflow:
- Pilot Phase: Review 20 cases to align on expectations and methodology
- Main Phase: Complete full review of 100 cases
- Post-pilot alignment may occur before progressing to the full dataset

Responsibilities

Complete the assigned case set within the agreed timeline
Maintain consistency and strong anatomical rigor across all cases
Deliver accurate and reliable quality ratings
Apply annotation guidelines with precision
Perform all work independently within the study framework

Requirements

U.S.-based Diagnostic Radiologists
American Board of Radiology (ABR)–certified
Minimum 5 years of experience interpreting MRI
Regular exposure to MR imaging across multiple anatomies
Strong familiarity with abdominal and thoracoabdominal imaging
Ability to work independently in a structured, protocol-driven environment

Join a forward-thinking initiative where your expertise helps advance AI in radiology and elevate imaging quality standards—apply now to be part of this impactful work.

Interested in this role? Use Apply now above or email recruiting@medcase.health with questions. Our team will follow up with more information.

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Designed for Practising Clinicians

Medcase engagements are built to complement active clinical practice—not replace it.

Project-based participation aligned with your specialty
Compensation for professional medical expertise
Flexible involvement without long-term commitments
Secure, compliant environments (HIPAA, GDPR)

Held to Clinical Standards

Not every contribution is equal in healthcare—and we treat it that way.

Credential verification and specialty matching
Structured review and calibration processes
Ongoing quality oversight by medical and project leads
Clear clinical and ethical guidelines

How Clinicians Contribute

Clinicians participate where medical judgment matters most in AI development.

Reviewing and validating medical data and model outputs
Providing expert clinical interpretation across modalities (text, imaging, video, waveform, audio)
Supporting clinician-led data annotation and enrichment
Advising on clinical accuracy, relevance, and edge cases
Contributing specialty-specific insight across regulated use cases

Professional Contribution, Fairly Compensated

Clinicians are compensated for their time and professional expertise.

Compensation details are shared transparently during the application and onboarding process
Participation is designed to fit alongside active clinical roles

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