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Remote Medical Artificial Intelligence Jobs (NOW HIRING)

GXM Consulting

Artificial Intelligence (AI) Lead Tester

$48.50 - $66.25/hr

GXM Technologies is seeking an Artificial Intelligence (AI) Lead Tester to provide both hands-on ... This position is Remote with Ad-Hoc travel possible but not expected. Responsibilities * Manage and ...

Zimmer, Inc.

Artificial Intelligence Associate Director

$180K - $225K/yr

As a global medical technology leader for nearly 100 years, a patient's mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds. As a Zimmer Biomet team member, you will share ...

Statheros

Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for professional development and research contributions * Access to state-of-the-art resources and tools for AI ...

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Remote Medical Artificial Intelligence information

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

As of Jun 14, 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.

More about Remote Medical Artificial Intelligence jobs
What cities are hiring for Remote Medical Artificial Intelligence jobs? 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:
What job categories do people searching Remote Medical Artificial Intelligence jobs look for? The top searched job categories for Remote Medical Artificial Intelligence jobs are:
Remote Medical Artificial Intelligence jobs near you
Infographic showing various Remote Medical Artificial Intelligence job openings in the United States as of June 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $47,733 per year, or $22.9 per hour.
Artificial Intelligence (AI) Engineer

Artificial Intelligence (AI) Engineer

General Dynamics Mission Systems, Inc

Remote

$142K - $158K/yr

Full-time

Posted 10 days ago

General Dynamics Mission Systems rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

77th of 190 rated software companies

Job description

Basic Qualifications
Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience.
CLEARANCE REQUIREMENTS:: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
What You'll Own
  • Production AI services. Build and deploy agentic workflows, RAG pipelines, and LLM-integrated applications using Python, LangChain/LangGraph, and commercial foundation models (Claude, Codex, Gemini, open source).
  • Data-to-insight pipelines. Implement document ingestion workflows that transform unstructured enterprise data into structured models for AI reasoning - embeddings, vectorization, knowledge graphs.
  • API integration. Design and build secure API interfaces that connect AI services to internal tools, enterprise platforms (Oracle, IFS, Snowflake, PLM, MES, CRM), and data sources.
  • Deployment and reliability. Containerize and deploy AI services using Docker and Kubernetes. Build monitoring and evaluation pipelines to track model reliability, latency, and operational performance.
  • Prompt engineering at scale. Design, test, and optimize prompts and agent configurations for production use - not demos.
What You Won't Own
  • Platform architecture decisions - that's the Lead Architect's job
  • Project coordination, scheduling, or status reporting
  • Vendor evaluations or tool selection committees
What Makes This Role Different
  • You will build production AI systems for a 10,000-person enterprise - not prototypes, not demos, not proofs of concept
  • You will work in a multi-model environment (Claude, Codex, Gemini, open source) on real enterprise problems - legacy modernization, ERP replacement, manufacturing intelligence
  • AI-assisted development is the default workflow - Claude Code, Codex, agentic tooling. You will use AI to build AI.
  • The team is small, the problems are hard, and your code ships to production. Your work will directly change how a major defense enterprise operates.
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, plus 5 years of experience; or Master's degree plus 3 years of experience
  • Production experience building applications with LLM APIs - you have deployed generative AI services that real users relied on, not just experimented with in notebooks
  • Strong Python development skills - you write clean, testable, production-grade code, not scripts
  • Experience with RAG pipelines, vector databases, and document ingestion workflows in production environments
  • Experience building and consuming REST APIs - you have integrated AI services with enterprise systems and data platforms
  • Containerized deployment experience - Docker, Kubernetes, CI/CD pipelines. You have shipped code through automated pipelines, not manual deployments.
  • U.S. citizenship required. Department of Defense Secret security clearance is required at time of hire.
Preferred Qualifications
  • Experience with agent frameworks - LangChain, LangGraph, or similar tools for building multi-step, tool-using AI workflows
  • Experience with multiple cloud platforms (AWS, Azure, GCP) including cloud-native AI services
  • Hands-on use of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) as part of your daily workflow
  • Experience with streaming data pipelines (Kafka, Airflow) and production data infrastructure
  • Model monitoring and evaluation - you have built systems to track AI service reliability, not just accuracy metrics in a notebook
  • Commercial technology background - SaaS, healthcare, fintech, or platform engineering. Defense experience is not required.
What Sets You Apart
  • You build things that work. Your default response to a problem is code, not a document.
  • You have shipped AI systems that real users depended on in production.
  • You are comfortable working without detailed specs - you can take a problem statement and figure out the right approach.
  • You care about reliability as much as capability - you monitor what you deploy.
  • You move fast without being reckless. You know when to iterate and when to get it right the first time.
Details
  • Remote - 100% telework
  • 9/80 schedule
  • Defense industry experience is not required

Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $142,696.00 - USD $158,303.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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