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Remote Medical Artificial Intelligence Jobs (NOW HIRING)

Aston Carter

Remote Medical Interviewer

Frederick, MD · On-site +1

$18 - $19/hr

Remote Medical Interviewer Responsibilities * Conduct professional, courteous, and articulate ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

TEKsystems

Medical Collector - REMOTE

Baltimore, MD · Remote

$18 - $27/hr

We are hiring a fully remote medical collector with experience specifically within HOSPITAL billing ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

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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 Software Engineer

4 Staffing Corp

Manhattan, NY • On-site, Remote

Other

Posted 11 days ago

Job description

Artificial Intelligence Software Engineer

New York, New York, United States Or refer someone Job Openings

About the Job Artificial Intelligence Software Engineer

Artificial Intelligence Software Engineer - Hybrid/Remote - NYC

No visa sponsorship available at this time.

Our client an up and coming innovative AI start-up is seeking a highly skilled and innovative Artificial Intelligence Software Engineer to join their dynamic team. In this role, you will be responsible for designing, developing, and implementing AI algorithms and software solutions to solve complex problems across various domains. The ideal candidate will have a strong background in machine learning, deep learning, and software development, with a passion for pushing the boundaries of AI technology.

Responsibilities:

  • Collaborate with cross-functional teams to understand project requirements and develop AI-driven solutions tailored to specific applications.
  • Design and implement machine learning algorithms and models for tasks such as classification, regression, clustering, and natural language processing.
  • Develop and optimize neural networks and deep learning architectures for tasks such as image recognition, speech recognition, and recommendation systems.
  • Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring robust performance and generalization.
  • Implement scalable and efficient software solutions for deploying AI models in production environments, including cloud-based platforms and edge devices.
  • Collaborate with software engineers to integrate AI capabilities into existing software systems and develop AI-driven features and products.
  • Research and evaluate emerging technologies and techniques in machine learning and AI, staying abreast of advancements in algorithms, frameworks, and tools.
  • Document design specifications, implementation details, and best practices for internal and external stakeholders.
  • Provide technical guidance and mentorship to junior engineers and contribute to the overall technical expertise of the team.

Requirements:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field. Master's or Ph.D. preferred.
  • Proven experience in machine learning, deep learning, and AI software development, with a minimum of 3 years in a relevant role.
  • Proficiency in programming languages such as Python, Java, or C++, and experience with AI frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning.
  • Experience with deep learning techniques and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models.
  • Familiarity with software engineering best practices, including version control, testing, and code review.
  • Excellent problem-solving skills and the ability to analyze complex technical challenges and propose innovative solutions.
  • Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

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