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Freelance Cardiologist Jobs (NOW HIRING)

Turing

Remote Cardiologist

Manhattan, NY · Remote

$200 - $300/hr

In this project, you will leverage your expertise in cardiology to help fine-tune large language ... Contractor/freelancer (no medical or paid leave). * Duration: 1 month, with possible extension.

Turing

Remote Cardiologist

San Francisco, CA · Remote

$200 - $300/hr

In this project, you will leverage your expertise in cardiology to help fine-tune large language ... Contractor/freelancer (no medical or paid leave). * Duration: 1 month, with possible extension.

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Freelance Cardiologist information

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$38K

$357.5K

$400K

How much do freelance cardiologist jobs pay per year?

As of Sep 15, 2026, the average yearly pay for freelance cardiologist in the United States is $357,482.00, according to ZipRecruiter salary data. Most workers in this role earn between $354,000.00 and $400,000.00 per year, depending on experience, location, and employer.

What is a freelance cardiologist?

A Freelance Cardiologist is a board-certified heart specialist who works independently rather than being employed full-time by a single hospital or clinic. They provide cardiology consultations, diagnostic assessments, and treatment plans on a contract or per-patient basis. Freelance cardiologists may work in multiple healthcare facilities, offer telemedicine services, or serve as locum tenens specialists. This role allows flexibility in scheduling and the ability to work with diverse patient populations.

What are the key skills and qualifications needed to thrive as a freelance cardiologist?

To thrive as a Freelance Cardiologist, you need a medical degree, board certification in cardiology, and extensive clinical experience in diagnosing and treating cardiovascular diseases. Familiarity with portable diagnostic devices, telemedicine platforms, and compliance requirements for licensure across states is typically essential. Strong interpersonal skills, time management, and self-motivation help you maintain patient trust and efficiently manage an independent practice. These skills and qualities ensure high standards of patient care, adaptability in various work settings, and professional success as an independent cardiology consultant.

What are common challenges faced by freelance cardiologists, and how can they be managed?

Freelance cardiologists often encounter challenges such as building a steady client base, managing administrative tasks independently, and ensuring compliance with state licensure requirements when practicing across multiple locations. Since you may be working with various clinics, hospitals, or through telemedicine, effective organization and proactive communication with referring physicians are crucial. Joining professional networks and staying current on the latest cardiology guidelines can help you maintain clinical excellence and professional visibility. Properly setting up secure record-keeping and billing systems is also important for smooth operations. Adapting to different healthcare environments and integrating seamlessly into diverse teams will contribute to your overall success in this flexible role.

More about Freelance Cardiologist jobs

What cities are hiring for Freelance Cardiologist jobs?

Cities with the most Freelance Cardiologist job openings:

What are the most commonly searched types of Cardiologist jobs?

The most popular types of Cardiologist jobs are:

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Freelance Cardiologist jobs near you
Infographic showing various Freelance Cardiologist job openings in the United States as of September 2026, with employment types broken down into 2% Locum Tenens, 1% As Needed, 68% Full Time, 4% Part Time, and 25% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $357,482 per year, or $171.9 per hour.

Remote Cardiologist

Manhattan, NY • Remote

Turing
IT Services • 51 - 200 employees
Learn more about Turingexternal

$200 - $300/hr

Contractor

Medical, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Role Overview:
In this project, you will leverage your expertise in cardiology to help fine-tune large language models (like ChatGPT). Your deep understanding of cardiovascular diagnostics, interventional procedures, and long-term cardiac care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning.

What You’ll Do:
  • Design and solve advanced clinical scenarios reflecting cardiology practice, from interpreting complex ECGs and imaging to managing heart failure and arrhythmias.
  • Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning in cardiovascular medicine.
  • Identify gaps in AI understanding across cardiology subspecialties including interventional, electrophysiology, and preventive cardiology.
  • Collaborate with AI researchers and medical peers to improve model quality and reliability.
  • Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications.

Candidate Requirements:
  • MD or equivalent; active practice within the last 3+ years.
  • Board certification or equivalent qualification in Cardiology.
  • Strong grasp of cardiovascular medicine — coronary artery disease, heart failure, valvular disease, arrhythmias, and cardiac imaging.
  • Skilled in articulating complex medical reasoning in clear, patient-friendly language.
  • Excellent written and spoken English; familiarity with digital medical tools is a plus.
  • Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.).

Offer Details:
  • Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST).
  • Engagement: Contractor/freelancer (no medical or paid leave).
  • Duration: 1 month, with possible extension.
  • Remote: Fully remote, collaborative environment.

About Turing:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

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