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Contract Ai Radiology Jobs (NOW HIRING)

$125 - $150/hr

a2z Radiology AI · Remote, United States · Territory based You already know the distance between ... It runs through a clinical champion, imaging IT, security, procurement, an economic buyer, contract ...

NY · On-site

$250/hr

... AI modules such as AIDoc and RadAI. Hospital Affiliation: The practice is affiliated with Joe ... We hold a secure, seven-decade-long exclusive contract with the state-of-the-art Memorial Health ...

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Contract Ai Radiology information

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$730

$1.8K

$3.2K

How much do contract ai radiology jobs pay per week?

As of Sep 7, 2026, the average weekly pay for contract ai radiology in the United States is $1,830.69, according to ZipRecruiter salary data. Most workers in this role earn between $1,153.85 and $2,394.23 per week, depending on experience, location, and employer.

What is a contract AI radiology professional?

A Contract AI Radiology professional is a radiologist or technical specialist who works on a contract basis to implement, manage, or interpret artificial intelligence (AI) tools in radiology departments. These professionals leverage AI technologies to assist with image analysis, diagnosis, and workflow optimization in medical imaging. Their work often involves collaborating with healthcare providers to ensure AI solutions are accurately integrated into clinical practice, improving efficiency and patient outcomes. Contract roles can vary in duration and may focus on project-based needs, such as deploying new AI software or training staff to use these tools effectively.

What are the key skills and qualifications needed to thrive as a contract AI radiology specialist?

To excel as a Contract AI Radiology Specialist, you typically need a background in radiology, medical imaging, and AI or machine learning, often supported by relevant degrees or certifications. Experience with diagnostic imaging platforms (such as PACS), AI tools for image analysis, and familiarity with regulatory standards like HIPAA is essential. Strong analytical thinking, attention to detail, and effective communication skills help you interpret findings and collaborate with healthcare teams. These competencies ensure accurate diagnoses, seamless integration of AI technologies, and high-quality patient outcomes.

What are some common challenges faced by contract AI radiologists, and how can they be addressed?

Contract AI Radiologists often encounter challenges such as integrating AI tools into existing workflows, ensuring the accuracy of AI-assisted readings, and maintaining communication with on-site teams. To address these challenges, it's important to stay updated on AI advancements, establish clear protocols for human-AI collaboration, and participate in regular meetings with radiology teams to align on best practices. Building strong relationships with IT and clinical staff also helps streamline issue resolution and fosters a supportive work environment.

What is the difference between Contract Ai Radiology vs Contract Radiology?

AspectContract Ai RadiologyContract Radiology
CertificationsRadiology certifications, AI/ML knowledgeRadiology certifications, medical licensing
Work EnvironmentRemote, AI-focused projectsHospital, clinic, or imaging center
Industry UsageAI technology integration in radiologyTraditional medical imaging services

Contract Ai Radiology professionals specialize in applying AI tools to radiology workflows, often working remotely and requiring knowledge of AI and radiology certifications. In contrast, Contract Radiology roles focus on interpreting medical images directly within clinical settings. Both roles involve radiology expertise but differ in technology focus and work environment.

More about Contract Ai Radiology jobs

What cities are hiring for Contract Ai Radiology jobs?

Cities with the most Contract Ai Radiology job openings:

What are the most commonly searched types of Ai Radiology jobs?

The most popular types of Ai Radiology jobs are:

What states have the most Contract Ai Radiology jobs?

States with the most job openings for Contract Ai Radiology jobs include:

Infographic showing various Contract Ai Radiology job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $95,196 per year, or $45.8 per hour.

Regional Account Director, Radiology AI

A2z Radiology

On-site

$125 - $150/hr

Other

Posted 20 days ago


Key responsibilities

  • Own the enterprise radiology-AI sales process from territory strategy through signed agreement.

  • Create access, run discovery, build account-specific cases for change, coordinate clinical and technical wins, and navigate procurement and contracting.

  • Manage relationships with health systems, IDNs, radiology groups, teleradiology companies, and outpatient imaging operators within the territory.


Job description

a2z Radiology AI · Remote, United States · Territory based

You already know the distance between a strong demonstration and a signed health-system agreement. It runs through a clinical champion, imaging IT, security, procurement, an economic buyer, contract language, budget timing, and a dozen moments when an interested account can quietly stop moving.

This role owns that distance.

a2z is building clinical AI that reads alongside radiologists. Our abdomen-pelvis CT triage device is FDA-cleared, and it's the first commercial system to simultaneously triage seven urgent conditions on abdomen-pelvis CT in the U.S. Backed by Khosla Ventures.

We are hiring a Regional Account Director to own enterprise radiology-AI sales from territory strategy through signed agreement. This is not an SDR seat and it is not a handoff role. You create access, run discovery, build the account-specific case for change, coordinate the clinical and technical win, navigate procurement and contracting, and own the close.

What you will own:

  • A U.S. territory. Health systems, IDNs, radiology groups, teleradiology companies, and outpatient imaging operators, selected deliberately rather than worked as an undifferentiated list.

  • The full enterprise sale. Prospecting, discovery, stakeholder mapping, clinical and economic value, demonstrations, technical validation, security review, procurement, contracting, forecast, and signature.

  • Competitive replacements and platform consolidation. Find the credible wedge, understand switching costs, prove why change is worth the operational effort, and build a path that a health system can actually execute.

  • The account team. Pull in founders, radiologists, engineers, and counsel where they change the outcome while remaining the person accountable for momentum and close.

  • Commercial truth. CRM stages, next steps, decision criteria, close dates, and risks that reflect buyer evidence rather than seller hope.

Who thrives here:

  • You have closed complex enterprise software or medical-device agreements with health systems, IDNs, or large clinical organizations.

  • You can build pipeline as well as close it. A sparse territory is a problem to solve, not a reason to wait for marketing.

  • You can hold a credible conversation with a radiology chair, a PACS administrator, a CIO, and procurement without pretending they care about the same thing.

  • You know how to displace an incumbent by making a better case for change, not by repeating generic competitive claims.

  • You forecast honestly. A deal without a decision process, economic buyer, or next buyer action is not late-stage because the demo went well.

  • You can sell technical and clinical evidence precisely and bring in an expert before precision becomes bluffing.

Helpful, not required: radiology AI; medical imaging software; PACS, RIS, or imaging informatics; enterprise clinical AI; FDA-cleared medical devices; six-figure or larger multi-year SaaS agreements; MEDDICC, Challenger, or Command of the Message; an existing network across radiology and health-system leadership.

Compensation:

  • Annual base salary: $130,000 to $160,000 USD

  • Target variable compensation: $130,000 to $160,000, with uncapped accelerators

  • On-target earnings: $260,000 to $320,000

  • Customer and conference travel reimbursed separately

The shape of the job: Remote within the United States, territory based, with regular customer travel and major imaging conferences. Must be authorized to work in the United States.

The interview: a commercial screen, a deal autopsy, and a fictional competitive-displacement exercise involving a health system that already uses an imaging-AI platform. We want your judgment and method, not anybody else's confidential information. Do not disclose or bring customer lists, pricing, contracts, renewal dates, CRM data, or other nonpublic information from a current or former employer.

To apply: Use the application form below. Alongside your CV, you'll answer one short question about an enterprise healthcare deal you closed.

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