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Remote Medical Artificial Intelligence Jobs (NOW HIRING)

Description Reviews a patient's medical records after a visit or procedure to translate information ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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How much do remote medical artificial intelligence jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote medical artificial intelligence in the United States is $22.95, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Remote Medical Artificial Intelligence vs Remote Medical Data Analyst?

AspectRemote Medical Artificial IntelligenceRemote Medical Data Analyst
Required CredentialsBackground in AI, machine learning, healthcare techDegree in health informatics, data analysis, or related field
Work EnvironmentRemote, tech-focused, interdisciplinary teamsRemote, healthcare settings, data-driven projects
Employer & Industry UsageTech companies, healthcare startups, research institutionsHospitals, clinics, healthcare organizations, research firms
Common Search & Comparison IntentUnderstanding AI roles in healthcareAnalyzing healthcare data remotely

Remote Medical Artificial Intelligence focuses on developing and implementing AI solutions in healthcare, requiring expertise in AI and healthcare technology. In contrast, Remote Medical Data Analysts interpret healthcare data to support clinical decisions, emphasizing data analysis skills. Both roles are remote and industry-specific but differ in technical focus and daily tasks.

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Cities with the most Remote Medical Artificial Intelligence job openings:

What are the most commonly searched types of Medical Artificial Intelligence jobs?

The most popular types of Medical Artificial Intelligence jobs are:

What states have the most Remote Medical Artificial Intelligence jobs?

States with the most job openings for Remote Medical Artificial Intelligence jobs include:

Infographic showing various Remote Medical Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $47,733 per year, or $22.9 per hour.

Artificial Intelligence (AI) Engineer

GSI Environmental Inc.

Houston, TX • On-site, Remote

Full-time

Re-posted yesterday


Job description

Position Overview

GSI Environmental Inc. (GSI) seeks a highly innovative AI Engineer to join our growing team and help how artificial intelligence, automation, and modern business systems shape the way our firm operates. In this role, you will design and deliver AI-powered applications, automations, dashboards, and data-driven tools that boost productivity across every part of the organization.

You'll partner closely with both our technical project teams and corporate departments to find where emerging technology can simplify workflows, sharpen decision-making, and eliminate repetitive manual tasks. This role will provide a rare opportunity to build a function from the ground up, harnessing the power of AI to help solve complex environmental problems.  

About Us

We are a privately held, employee-owned company offering superior compensation, benefits, and professional development. GSI is highly respected nationally and internationally for the quality of its professional environmental services and the technically advanced projects it has completed over its 40 years of operation. GSI leadership promotes a collaborative, fun, and growth-oriented workplace, resulting in strong staff retention and high client satisfaction.  

GSI employs cross-disciplinary teams of environmental engineers and scientists focused on bringing innovative solutions to our clients’ toughest environmental challenges pertaining to water resources, air quality, land restoration, sustainability, renewable energy, ecological services, data science, toxicology, and energy and critical minerals production. Headquartered in Houston, Texas, GSI operates 13 offices across nine states, Texas, California, Colorado, Washington, Montana, Georgia, North Carolina, Virginia, and New York, with additional remote staff located throughout the United States. Our talented staff of environmental professionals performs projects nationwide and internationally.  

Key Responsibilities

AI & Application Development

  • Design, develop, and deploy AI-powered applications, assistants, and workflows that solve real business and environmental problems.
  • Develop custom internal software, portals, and applications that improve operational efficiency.
  • Evaluate new AI platforms, large language models (LLMs), and automation technologies, and rapidly prototype high-value use cases.

Data, Analytics & Integration

  • Build dashboards and business intelligence tools that deliver actionable insight to leadership and project teams.
  • Integrate business and technical systems through APIs, databases, and cloud services.
  • Support data management, reporting, and analytics initiatives—including work with scientific, financial, and regulatory data.

Automation & Enablement

  • Create automated workflows that reduce manual effort and streamline business processes.
  • Train and support employees in adopting new AI tools, and champion a culture of practical, responsible AI use.

Governance & Strategy

  • Develop AI governance standards and best practices that ensure secure, ethical, and responsible use of emerging technologies—particularly important given GSI's confidential client, litigation, and government project data.
  • Partner with IT and leadership to establish a long-term technology and innovation roadmap.
Location

This position is preferably based at or near one of GSI's offices, with our Houston headquarters as the ideal location. Hybrid or remote arrangements will be considered for exceptionally qualified candidates.

Qualifications/Experience
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related field.
  • Ability to develop software applications, automation tools, business intelligence solutions, or AI-enabled technologies.
  • Hands-on experience with Generative AI, LLMs, AI agents, or machine learning technologies.
  • Strong programming skills in Python, SQL, JavaScript, C#, or similar languages.
  • Experience building dashboards and analytics with Power BI, Tableau, or comparable platforms.
  • Experience integrating systems via APIs, databases, and cloud technologies.
  • Strong grasp of data architecture, security, governance, and software development best practices.
  • Proven ability to translate complex business problems into practical technology solutions.
  • Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
  • Experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI) or similar low-code tools—GSI is a Microsoft 365 environment.
  • Experience building LLM/RAG applications, document automation, or AI assistants for knowledge work.
  • A passion for continuous learning and staying current with rapidly evolving AI technologies.
  • A passion for the environment is a strong plus!