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Remote Health Ai Jobs (NOW HIRING)

Dozee

Installation Specialist

Houston, TX · Remote

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

Installation Specialist

Houston, TX · Remote

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 Jun 15, 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:
What job categories do people searching Remote Health Ai jobs look for? The top searched job categories for Remote Health Ai jobs are:
Remote Health Ai jobs near you
Infographic showing various Remote Health Ai job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Remote Healthcare & FDA Regulatory Law Expert

Remote Healthcare & FDA Regulatory Law Expert

Turing

Sunnyvale, CA • Remote

Other

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

Job description

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.


Role Overview:

Turing invites Healthcare and FDA Regulatory Law experts to join projects that fine-tune AI models like ChatGPT. You will apply your expertise in healthcare compliance, FDA drug/device approval, Anti-Kickback Statute analysis, and HIPAA enforcement to evaluate how AI handles healthcare regulatory scenarios. If you enjoy analyzing Stark Law exceptions, False Claims Act liability, and pre-market approval pathways, this is your opportunity. No prior AI experience is required — your background in U.S. healthcare law is exactly what’s needed.


What Does Day-to-Day Look Like:

  • Review and evaluate AI-generated responses to U.S. healthcare law hypotheticals, including HIPAA privacy and security rules, Anti-Kickback Statute safe harbors, Stark Law exceptions, and FDA approval pathways (510(k), PMA, NDA).
  • Apply a structured legal rubric to assess issue spotting, accuracy of healthcare regulations, and proper application of CMS guidance and FDA rules.
  • Identify gaps in AI reasoning around fraud and abuse compliance, clinical trial regulations, telehealth law, and pharmacy benefit management.
  • Provide detailed, high-quality annotations and written feedback to refine AI models.
  • Collaborate with researchers and project managers to align evaluation standards and project goals.


Requirements:

  • Juris Doctor (J.D.) from an accredited U.S. law school; Bar admission (active/inactive).
  • 3+ years of U.S. legal practice in healthcare law, FDA regulatory affairs, or healthcare compliance.
  • Strong reasoning skills across HIPAA, the Anti-Kickback Statute, Stark Law, False Claims Act, and FDA regulations.
  • Excellent written communication and attention to detail.
  • High ethical standards; interest in AI is a plus.


Perks of Freelancing with Turing:

  • Opportunity to work on cutting-edge AI projects with leading LLM companies.
  • Competitive compensation.
  • Flexible, fully remote work arrangement.
  • Learn how to use AI to advance the legal field.


Offer Details:

  • Commitment: Flexible, 10–30 hrs/week.
  • Duration: ~1 month, with the possibility of extension based on performance and project needs.


After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.


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