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Ai Medical Jobs (NOW HIRING)

Turing

Remote Medical Specialist (MD/DO)

San Francisco, CA · On-site +1

$100 - $200/hr

You'll design evaluation methods that test AI performance on real medical problems where clinical ... expertise makes the difference. * Design systematic evaluation frameworks for medical AI systems.

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How much do ai medical jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for ai medical in the United States is $76.10, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $192.31 per hour, depending on experience, location, and employer.

What is the difference between Ai Medical vs Medical Assistant?

AspectAi MedicalMedical Assistant
Required CredentialsCertification in AI or healthcare tech, relevant degreesCertified Medical Assistant (CMA), post-secondary education
Work EnvironmentHealthcare settings, tech companies, AI development labsClinics, hospitals, outpatient facilities
Employer & Industry UsageTech firms, healthcare providers integrating AIMedical clinics, hospitals, outpatient centers
Common Search & Comparison IntentUnderstanding AI roles in healthcareMedical assisting duties and certifications

Ai Medical professionals focus on integrating AI technology into healthcare, requiring tech and healthcare knowledge. Medical Assistants perform clinical and administrative tasks in healthcare settings, often with certification. While Ai Medical emphasizes AI systems, Medical Assistants support patient care directly. Both roles are vital but serve different functions within the healthcare industry.

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

To thrive as an AI Medical Specialist, you need a strong background in healthcare, data science, and machine learning, often supported by degrees in computer science, bioinformatics, or a related field. Familiarity with medical imaging software, AI frameworks like TensorFlow or PyTorch, and certifications in health informatics or AI are highly beneficial. Excellent problem-solving, analytical thinking, and effective communication skills help bridge the gap between clinical professionals and technical teams. These skills are essential to develop reliable AI healthcare solutions that improve diagnostics, patient outcomes, and operational efficiency.

What are some common challenges faced by professionals in AI medical roles, and how can they be addressed?

Professionals in AI medical roles often encounter challenges such as integrating new technologies with existing healthcare systems, ensuring data privacy, and navigating regulatory requirements. Collaboration with clinicians and IT teams is essential to ensure that AI solutions are both effective and user-friendly. Staying updated on healthcare regulations and best practices in AI ethics can help address these challenges, as can ongoing communication with stakeholders to tailor solutions that meet clinical needs while maintaining patient trust.

What is an AI Medical professional?

An AI Medical professional is someone who specializes in applying artificial intelligence technologies within the healthcare and medical field. This role involves developing, implementing, and managing AI systems that can assist with diagnostics, treatment planning, patient monitoring, and healthcare research. AI Medical professionals may work as data scientists, engineers, or clinical experts collaborating to improve patient care, enhance efficiency, and support medical decision-making through advanced algorithms and machine learning models. Their expertise helps bridge the gap between technology and medicine, driving innovation in healthcare.
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Ai Medical jobs near you
Head of Platform Integrations -- AI Healthcare Systems

Head of Platform Integrations -- AI Healthcare Systems

odiggo

Mountain View, CA

Full-time

Posted 25 days ago

Job description

A tech-driven healthcare startup is looking for a Senior Integration Engineer to own platform integration strategies that connect AI medical personnel with major EHRs. The ideal candidate should have over 6 years of software engineering experience and proven track record in managing teams and understanding healthcare data standards. This role requires strong coding skills in languages like Python and Node.js, as well as expertise in CI/CD tools.

Join us to create impactful solutions in the healthcare sector. #J-18808-Ljbffr

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