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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 5, 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 81% Full Time, 15% Part Time, 2% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Youth Mental Health & Crisis Care Consultant - Remote

Youth Mental Health & Crisis Care Consultant - Remote

micro1 AI

Frisco, TX • Remote

$50 - $90/hr

Part-time

Posted 5 days ago

Job description

Role Title: Child & Online Safety Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Child & Online Safety Experts to contribute to a high-impact customer project focused on online safety and mental-health support for young people. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity centers on developing a robust mental-health safety evaluation framework for vulnerable youth online, leveraging your deep knowledge of crisis-care and digital risk assessment.


Scope of Work

  1. Develop comprehensive taxonomies related to self-harm, suicide prevention, eating disorders, and emotional dependency in digital contexts.
  2. Establish best-practice standards for digital support and clinical safety regarding youth and adolescent mental health.
  3. Create detection frameworks to identify, flag, and evaluate potentially harmful online content and advice related to mental-health crises for minors.
  4. Design and refine clinical response rubrics and escalation protocols for at-risk individuals in digital environments.
  5. Collaborate with project leads to ensure that all evaluation benchmarks and guidelines are grounded in current research and clinical best practices.
  6. Offer insights on CSAM-adjacent policy and online exploitation dynamics, enhancing digital child safety protocols.
  7. Deliver clear, actionable written and verbal feedback that shapes the ongoing development of AI safety tools and frameworks.


Preferred Qualifications

  1. Licensed therapist, psychiatrist, clinician, or mental-health professional with direct crisis-care experience.
  2. 5+ years of focused work in adolescent mental health, suicide prevention, eating-disorder intervention, or related fields; 8–20 years welcomed for senior contributors.
  3. Demonstrated expertise in clinical risk assessment and intervention in digital or online settings.
  4. Advanced degree, specialized certification, or equivalent operational experience in mental-health or child safety domains.
  5. Experience evaluating or implementing CSAM-adjacent policies, or working within child online exploitation prevention initiatives.
  6. Strong written and verbal communication skills, with the ability to distill complex information for diverse audiences.
  7. High credibility and a recognized track record of impact in clinical, crisis-response, or safety evaluation communities.

Apply