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Independent Contractor Radiologist Jobs in Georgia

Lyle Health

Anesthesiology Physician

Warner Robins, GA

$351K/yr

Stable group seeks a well-rounded, fellowship trained Diagnostic Radiologist. No mammography ... Can choose Independent Contractor or W-2. Enjoy a nice blend of bustling city life mixed with a ...

All JobsIndependent Contractor Radiologist JobsIndependent Contractor Radiologist Jobs in Georgia

Independent Contractor Radiologist information

See Georgia salary details

$42.2K

$291.3K

$337.8K

How much do independent contractor radiologist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for independent contractor radiologist in Georgia is $291,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $270,200.00 and $337,800.00 per year, depending on experience, location, and employer.

What is an Independent Contractor Radiologist job?

An Independent Contractor Radiologist is a medical professional who interprets medical images, such as X-rays, MRIs, and CT scans, on a contract basis rather than as a full-time employee. They typically work with multiple healthcare facilities, providing diagnostic expertise remotely or on-site. These radiologists have more control over their schedules and workload but are responsible for their own taxes, benefits, and malpractice insurance.

What are some common challenges faced by Independent Contractor Radiologists, and how can they be managed?

Independent Contractor Radiologists often navigate challenges such as managing a high caseload, maintaining clear communication with multiple healthcare providers, and adapting to different hospital protocols and systems. Staying organized, developing efficient reporting workflows, and being proactive in addressing discrepancies or urgent findings help manage these demands effectively. Many radiologists also find it beneficial to invest in continuing education and network with peers to stay current on evolving best practices. By balancing autonomy with strong organizational and interpersonal skills, contractors can deliver high-quality interpretations while meeting diverse client expectations.

What are the key skills and qualifications needed to thrive in the Independent Contractor Radiologist position, and why are they important?

Independent Contractor Radiologists need comprehensive training in diagnostic imaging, board certification in radiology, and the ability to independently interpret medical images. Familiarity with PACS (Picture Archiving and Communication Systems), dictation software, and secure telemedicine platforms is essential. Strong communication, critical thinking, and time-management skills help stand out in this autonomous yet collaborative role. These skills and qualities ensure accurate diagnostics, efficient remote work, and reliable consultation with referring physicians.

What are the most commonly searched types of Radiologist jobs in Georgia? The most popular types of Radiologist jobs in Georgia are:
What are popular job titles related to Independent Contractor Radiologist jobs in Georgia? For Independent Contractor Radiologist jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Independent Contractor Radiologist jobs in Georgia look for? The top searched job categories for Independent Contractor Radiologist jobs in Georgia are:
Independent Contractor Radiologist jobs near you
Infographic showing various Independent Contractor Radiologist job openings in Georgia as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 17% Full Time, 60% Part Time, and 20% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $291,287 per year, or $140 per hour.
Expert Contributor - Radiologist

Expert Contributor - Radiologist

Arise Virtual Solutions

Atlanta, GA

$307K - $384K/yr

Contractor

Posted 5 days ago

Job description

Expert Contributor - Radiologist
Task-Based Independent Contractor Opportunity
Overview
We're looking for Radiology experts who can design and solve challenging, real-world reasoning tasks that test the limits of advanced AI systems. You'll create high-quality radiology problems, develop rigorous solutions, and help identify exactly where models fall short in clinical and diagnostic reasoning. The focus is on graduate-level difficulty, diagnostic precision, and reproducible evaluation. If you thrive on building nuanced diagnostic scenarios and evaluating complex imaging interpretations, this opportunity is calling your name.
Key Responsibilities
  • Design complex, multi-step diagnostic reasoning problems with precise, fully worked interpretations and clinical decision pathways.
  • Evaluate AI-generated diagnostic reasoning and identify where models produce incorrect or incomplete analyses.
  • Create problems spanning CT, MRI, X-ray, ultrasound, and nuclear medicine imaging modalities.
  • Develop reproducible evaluation criteria and grading rubrics for each diagnostic scenario.
  • Review and critique competing diagnostic conclusions across multi-turn evaluation sessions.
  • Collaborate asynchronously with the project team on clinical accuracy and difficulty calibration.

Required Qualifications
  • Deep fluency in Radiology, with the ability to create complex, multi-step diagnostic reasoning problems and produce precise, fully worked interpretations.
  • Proficiency with imaging modalities including CT, MRI, X-ray, ultrasound, and nuclear medicine, as well as PACS and relevant diagnostic software.
  • Strong review instincts with the ability to identify subtle diagnostic errors and evaluate competing conclusions.
  • MD with Radiology residency completion, fellowship, or equivalent; board-certified or board-eligible candidates strongly preferred.

Preferred Qualifications
  • Background in academic radiology, residency/fellowship instruction, case-based curriculum design, or clinical research.
  • Familiarity with board exam-style question design (ABR, FRCR, or equivalent).
  • Experience evaluating AI-generated diagnostic reasoning or working with AI-assisted imaging tools.
  • Published research in a peer-reviewed radiology or medical imaging journal.

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