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Remote Health Ai Jobs (NOW HIRING)

At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, w ... In this remote role, you will support members managing cardiometabolic conditions - including ...

Dozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation at scale. Headquartered in Bengaluru, India, Dozee has emerged as India's no. 1 RPM ...

Dozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation at scale. Headquartered in Bengaluru, India, Dozee has emerged as India's no. 1 RPM ...

Dozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation at scale. Headquartered in Bengaluru, India, Dozee has emerged as India's no. 1 RPM ...

Dozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation at scale. Headquartered in Bengaluru, India, Dozee has emerged as India's no. 1 RPM ...

The Senior Director, Connected Health & AI Solutions, provides executive leadership and strategic ... This position is fully remote within the United States. Responsibilities Strategic Leadership

At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, w ... • Remote-first company • Paid company holidays • Free digital therapist for you and your ...

Dozee Health AI is the pioneer in Contactless Remote Patient Monitoring (RPM), proven to drive transformation at scale. Headquartered in Bengaluru, India, Dozee has emerged as India's no. 1 RPM ...

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Remote Health Ai information

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$83.5K

$127K

$171K

How much do remote health ai jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote health ai in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Health Ai vs Remote Medical Coder?

AspectRemote Health AiRemote Medical Coder
Required CredentialsAI/healthcare certifications, technical skillsMedical coding certifications (CPC, CCS)
Work EnvironmentRemote, tech-focused, healthcare data analysisRemote, healthcare documentation and coding
Employer & IndustryHealthcare tech companies, hospitals, telehealthHospitals, clinics, insurance companies
Search & Comparison IntentAI-driven healthcare roles, tech in healthcareMedical billing, coding, healthcare documentation

Remote Health Ai involves working with artificial intelligence and healthcare data analysis, often requiring technical certifications. Remote Medical Coder focuses on reviewing medical records and assigning codes, requiring medical coding certifications. Both roles are remote and serve the healthcare industry, but they differ in skills and daily tasks.

How does a Remote Health AI specialist typically collaborate with healthcare professionals and technical teams?

A Remote Health AI specialist regularly works alongside healthcare providers, data scientists, and software engineers to design, implement, and refine AI-driven healthcare solutions. Collaboration often involves translating clinical needs into technical requirements, reviewing data quality, and ensuring that AI models align with patient safety and privacy standards. Frequent communication and agile teamwork are crucial, as the specialist must bridge the gap between medical expertise and advanced technology while adapting to evolving project goals and regulatory requirements.

What is a Remote Health AI professional?

A Remote Health AI professional is someone who specializes in developing, implementing, or managing artificial intelligence technologies used in remote healthcare settings. These professionals work on tools and systems that enable telemedicine, remote patient monitoring, diagnostics, and data analysis, often from locations outside traditional healthcare facilities. Their work helps improve access to medical care, streamline clinical workflows, and enhance patient outcomes by leveraging AI-driven solutions. They may collaborate with medical staff, data scientists, and software engineers to ensure safe and effective use of AI in healthcare. Remote Health AI professionals can work for healthcare organizations, tech companies, or as independent consultants.

What are the key skills and qualifications needed to thrive as a Remote Health AI Specialist, and why are they important?

To thrive as a Remote Health AI Specialist, you need a strong background in computer science, data analysis, and healthcare concepts, often supported by degrees in related fields. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), EHR integration, and relevant certifications in AI or healthcare informatics are typically required. Excellent problem-solving abilities, collaboration, and communication skills help bridge the gap between technical and clinical teams. These competencies are essential for developing effective AI-driven health solutions that improve patient outcomes and streamline remote healthcare services.
More about Remote Health Ai jobs
What cities are hiring for Remote Health Ai jobs? Cities with the most Remote Health Ai job openings:
What are the most commonly searched types of Health Ai jobs? The most popular types of Health Ai jobs are:
What states have the most Remote Health Ai jobs? States with the most job openings for Remote Health Ai jobs include:
Infographic showing various Remote Health Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

2026 Fall Health AI Scholar, Digital Health Algorithms

Samsung Research America Internship

Mountain View, CA • On-site, Remote

Other

Posted yesterday


Job description

Lab Summary:

Samsung Research America Digital Health Algorithms Team (https://www.sra.samsung.com/digital-health/) collaborates with top universities, hospitals, and healthcare-industry partners to collect large-scale data and develop novel AI/ML algorithms to transform how healthcare is delivered. We use design thinking to address some of healthcare's toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access. 

Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. We use advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms for developing digital biomarkers and digital interventions. We employ data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives. Our work has been internationally recognized with 70+ peer-reviewed publications and 10 design awards.

Our portfolio of digital health algorithmic solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as wells chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.

Position Summary:

We are looking for a highly motivated and talented individual with solid ML/AI/GenAI technology background to join the Digital Health Algorithms Team as a Health AI Scholar for a 10-month residency program,. This position is ideal for a fresh graduate PhD student or a postdoctoral researcher with digital health research experience in multi-modal physiological timeseries algorithm development and passionate about applying cutting-edge artificial intelligence techniques to health-related challenges. You will have the opportunity to work alongside a diverse and innovative team, leveraging your expertise to advance our AI-driven health initiatives.

Samsung's unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.

Position Responsibilities:

  • Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
  • Work with large-scale time-series datasets, developing robust algorithms to extract meaningful insights.
  • Collaborate with multidisciplinary teams to translate AI-driven insights into impactful healthcare solutions.
  • Train and fine-tune deep learning models using AWS AI services, ensuring scalability and efficiency.
  • Contribute to the development of novel AI methodologies to address complex healthcare challenges.
  • Actively engage in team discussions, fostering a collaborative and inclusive work environment.

Required Skills:

  • PhD (near completion) or postdoctoral experience in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a related field.
  • Strong expertise in deep learning techniques (e.g., self-supervised learning, transformer architectures, CNNs, RNNs).
  • Proven experience working with time-series datasets, preferably in health-related domains.
  • Proficiency in developing and deploying models using AWS AI services including SageMaker and Redshift.
  • A track record of peer-reviewed publications in top AI/health-related journals or conferences.
  • Programming using languages such as Python, R, Android, C/C++, Java.
  • Demonstrated ability to work collaboratively in multidisciplinary teams.