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Ai Healthcare Remote Jobs (NOW HIRING)

YO AI Labs

Healthcare Expert - Remote

New York, NY · Remote

$20.50 - $26/hr

Remote About the Role We are looking for experienced healthcare professionals to support AI training and evaluation projects. You'll apply your healthcare knowledge to assess AI outputs, workflows ...

Activated Scale Inc.

Sales, Healthcare

$180K - $300K/yr

Requirements This is a remote AE role The ideal candidate has * Has worked in a startup or sales ... Bonus points for some AI experience More about the customer profile * They target the hyperscalers ...

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Ai Healthcare Remote information

What is an AI Healthcare Remote?

An AI Healthcare Remote job involves using artificial intelligence technologies to improve healthcare outcomes, processes, or tools while working from a location outside of a traditional healthcare facility or office. Professionals in these roles may develop, implement, or manage AI applications such as diagnostic algorithms, predictive analytics, or virtual health assistants. They often collaborate with clinicians, data scientists, and IT teams remotely to solve healthcare challenges and enhance patient care. These positions typically require strong skills in data analysis, machine learning, and healthcare knowledge.

What are the key skills and qualifications needed to thrive as an AI Healthcare Remote professional?

To thrive as an AI Healthcare Remote professional, you need a strong background in computer science, healthcare informatics, and data analysis, often supported by a relevant degree or certification. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), healthcare data standards (like HL7 or FHIR), and secure telemedicine platforms is typically required. Excellent problem-solving, communication, and collaboration skills are vital for working effectively across remote, multidisciplinary teams. These capabilities ensure that AI solutions are accurately developed, securely deployed, and effectively integrated into healthcare workflows to improve patient outcomes.

What are some common challenges faced by AI Healthcare professionals working remotely, and how can they be addressed?

AI Healthcare professionals working remotely often face challenges related to collaboration with clinical teams, access to secure patient data, and staying up-to-date with evolving healthcare regulations. To address these issues, it's important to leverage secure communication tools, participate in regular virtual meetings, and maintain strict data security protocols. Proactively seeking feedback from cross-functional colleagues and engaging in continued professional development can also help remote AI Healthcare professionals remain effective and connected to their team.

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

AspectAi Healthcare RemoteMedical Coder
Required CredentialsCertifications in AI, healthcare IT, or related fields; often self-taught or online coursesCertified Medical Coder (CPC, CCS, or similar)
Work EnvironmentRemote, technology-driven, flexible hoursRemote or on-site, healthcare facilities or coding companies
Employer & Industry UsageHealthcare tech companies, telehealth services, AI startupsHospitals, clinics, insurance companies, medical billing services
Common Search & Comparison IntentUnderstanding AI-driven healthcare roles, remote healthcare jobsMedical billing, coding jobs, healthcare documentation

Ai Healthcare Remote involves working with AI technologies to improve healthcare processes, often requiring knowledge of healthcare IT and AI tools. Medical Coder focuses on translating medical records into standardized codes for billing and documentation, typically requiring coding certifications. Both roles can be remote but differ in technical focus and industry applications.

What cities are hiring for Ai Healthcare Remote jobs?

Cities with the most Ai Healthcare Remote job openings:

Infographic showing various Ai Healthcare Remote job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 100% Remote job distribution.

Remote Opportunity: Product Owner (AI & Healthcare Domain)

Jersey City, NJ • Remote

Realtech Services
See more jobs at Realtech Servicesexternal

Contractor

Re-posted 22 days ago

Job description


Position: Product Owner (AI & Healthcare Domain)

Location: 100% Remote

Duration: Long-Term Contract

Job Summary:

  • We are seeking an experienced Product Owner with a strong background in AI-driven solutions and Healthcare domain expertise. The ideal candidate will be responsible for defining product vision, managing product roadmaps, and collaborating with cross-functional teams to deliver innovative healthcare technology solutions powered by AI.

Key Responsibilities:

  • Define and manage product vision, roadmap, and business priorities.
  • Work closely with business stakeholders, engineering teams, and AI/ML teams to deliver healthcare solutions.
  • Gather, analyze, and document business and functional requirements.
  • Prioritize product backlogs and manage Agile/Scrum activities.
  • Drive the product development lifecycle from concept to deployment.
  • Collaborate with UI/UX, QA, Data Engineering, and Development teams.
  • Ensure product alignment with healthcare regulations, compliance, and business objectives.
  • Monitor product performance and recommend continuous improvements.

Required Skills:

  • Strong experience as a Product Owner or Product Manager.
  • Experience working on AI/ML-based products or intelligent automation solutions.
  • Strong Healthcare domain experience.
  • Expertise in Agile/Scrum methodologies and backlog management tools such as JIRA or Azure DevOps.
  • Strong understanding of product lifecycle management and stakeholder communication.
  • Excellent analytical, leadership, and problem-solving skills.

Preferred Qualifications:

  • Exposure to Healthcare analytics, patient data platforms, or healthcare AI solutions.
  • Knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Experience working with cross-functional global teams.