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Ai Physician Jobs (NOW HIRING)

Weekday AI

Internal Medicine AI Evaluation Specialist

$130 - $180/hr

We are seeking experienced Internal Medicine physicians to contribute their clinical expertise toward training and evaluating next-generation AI models capable of sophisticated medical reasoning. In ...

Weekday AI

Internal Medicine AI Evaluation Specialist

$130 - $180/hr

We are seeking experienced Internal Medicine physicians to contribute their clinical expertise toward training and evaluating next-generation AI models capable of sophisticated medical reasoning. In ...

Mercor

Emergency Physician - AI Trainer

Nashville, TN · Remote

$115/hr

Emergency Medicine Physician -- O NET Occupation Study Type: Contract Compensation: $115/hour ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Mercor

Emergency Physician - AI Trainer

Nashville, TN · On-site

$115/hr

Emergency Medicine Physician -- O NET Occupation Study Type: Contract Compensation: $115/hour ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Weekday AI

Clinical AI Specialist

$130 - $300/hr

Develop "gold standard" responses at an attending-physician level to guide AI model learning * Evaluate and grade AI-generated outputs using structured rubrics and evidence-based medical standards

Weekday AI

Medical Expert AI Evaluation Specialist

$130 - $180/hr

This opportunity is ideal for physicians across a broad range of medical specialties who are ... Evaluate AI Performance * Assess AI-generated medical responses using structured evaluation ...

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Ai Physician information

See salary details

$97.5K

$217.4K

$350K

How much do ai physician jobs pay per year?

As of Aug 31, 2026, the average yearly pay for ai physician in the United States is $217,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $190,000.00 and $244,500.00 per year, depending on experience, location, and employer.

What is an AI physician?

AI Physicians are advanced artificial intelligence systems designed to assist with medical diagnostics, treatment recommendations, and patient care. They leverage machine learning algorithms and vast medical databases to analyze patient data, suggest possible diagnoses, and propose evidence-based treatment plans. While AI Physicians can enhance healthcare efficiency and accuracy, they are typically used to support, not replace, human doctors. Their integration aims to improve patient outcomes, reduce diagnostic errors, and alleviate the workload on healthcare professionals.

What are some typical challenges an AI physician faces when integrating artificial intelligence tools into patient care?

AI Physicians often encounter challenges related to integrating advanced AI technologies into existing clinical workflows. These can include ensuring data privacy, communicating AI-driven insights effectively to both patients and healthcare teams, and staying updated with rapidly evolving AI regulations and standards. Collaboration with IT specialists and traditional healthcare providers is essential to address these issues and to build trust in AI-assisted decision-making. Continuous professional development and adaptability are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as an AI physician, and why are they important?

To thrive as an AI Physician, you need a strong background in medicine, clinical decision-making, and expertise in artificial intelligence applications in healthcare, often supported by a medical degree and additional training in data science or health informatics. Familiarity with electronic health records (EHRs), machine learning platforms, and AI diagnostic tools is crucial. Excellent analytical thinking, communication skills, and adaptability are vital for integrating AI insights with patient care and collaborating with interdisciplinary teams. These skills ensure accurate, ethical, and effective use of AI technologies to enhance patient outcomes and advance medical practice.

What is the difference between Ai Physician vs Data Scientist?

AspectAi PhysicianData Scientist
Required CredentialsMedical degree, AI specialization, certifications in healthcare AIDegree in computer science, statistics, or related field; data analysis certifications
Work EnvironmentHospitals, clinics, healthcare tech companiesTech firms, finance, healthcare, research institutions
Employer & Industry UsageHealthcare providers integrating AI for diagnostics and treatmentVarious industries using data analysis for decision-making
Common Search & Comparison IntentUnderstanding roles in healthcare AIComparing AI roles in data analysis

While both Ai Physicians and Data Scientists work with AI technologies, Ai Physicians focus on applying AI in healthcare settings, requiring medical credentials and clinical knowledge. Data Scientists have a broader scope across industries, emphasizing data analysis skills. The choice depends on whether you aim to work directly in healthcare or in data-driven roles across various sectors.

More about Ai Physician jobs

What cities are hiring for Ai Physician jobs?

Cities with the most Ai Physician job openings:

What states have the most Ai Physician jobs?

States with the most job openings for Ai Physician jobs include:

What job categories do people searching Ai Physician jobs look for?

The top searched job categories for Ai Physician jobs are:

Ai Physician jobs near you
Infographic showing various Ai Physician 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 $217,445 per year, or $104.5 per hour.

Senior Fellow - Scientific AI (Physician)

McKinsey & Company

Atlanta, GA • On-site

Full-time, Part-time

Posted 26 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

21st of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will work as a member of McKinsey's global scientific AI team to transform the way our clients do research and development in industries where scientific innovation is core to value creation.
You will help build and lead McKinsey's forward-looking capabilities to transform clients' innovation engines.
With your specific expertise at the intersection of oncology and artificial intelligence / machine learning (i.e., deep learning, causal inference, Bayesian modelling, and foundation models), you will bring distinctive medical knowledge to complex client Life Sciences R&D challenges through part-time staffing on client studies with a multi-disciplinary team.
You will drive proposal processes and participate in client negotiations by identifying end-to-end opportunities to transform Life Sciences R&D and architecting solutions that address specific client needs. You will advance the latest thinking in scientific AI and generate a steady stream of whitepapers, scientific publications and keynote speeches in top scientific and AI conferences and journals.
You will also establish an external network, play a lead role in external reputation building, and attract and retain junior colleagues by mentoring them to expand their scientific AI knowledge and impact.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Must possess a medical degree (MD), licensed to practice in the United States, and have successfully completed a residency program
  • Proven mastery of fundamental concepts in oncology, as well as being up-to-date on latest ideas and publications, including: Biomarker-led oncology trials; Immuno-oncology; Mechanistic models of oncology; Understanding of the latest developments in oncology; A strong clinical academic network; Deep understanding of clinical endpoints used in clinical trials
  • Deep understanding of the data sources, AI methods and related analytical technologies, e.g., AI principles, deep learning, machine learning (supervised or unsupervised), causal inference, large language models, foundation models, computer vision, diffusion models, reinforcement learning, and knowledge graphs
  • Ability to develop new-to-world solution architecture blueprints, and decompose the end-state solution into incremental releases to prove feasibility and deliver value
  • Track record of innovation at the intersection of AI and oncology
  • Track record of recent leadership and engagement in the external ecosystem via publications, conference participation, keynote speeches, and connectedness with academia and/or industry
  • Experience managing direct reports, or a complex network of internal & external stakeholders
  • Compelling communicator with track record of translating technical methods to non-technical executive stakeholders

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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About McKinsey

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In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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