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Remote Monitor Tech Jobs in Suffolk, VA (NOW HIRING)

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Remote Monitor Tech information

See Suffolk, VA salary details

$12

$20

$28

How much do remote monitor tech jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote monitor tech in Suffolk, VA is $20.11, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $23.80 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote monitor techs and how can they be effectively managed?

Remote Monitor Techs often face challenges such as monitoring multiple patients simultaneously, responding quickly to abnormal readings, and maintaining clear communication with on-site clinical teams. Staying organized and developing strong attention to detail are key to managing these challenges. Additionally, being proficient with the monitoring technology and having protocols in place for escalation help ensure patient safety and efficient workflow. Regular training and collaboration with nurses and physicians also support effective performance in this remote role.

What are the key skills and qualifications needed to thrive as a remote monitor tech?

To thrive as a Remote Monitor Tech, you need a strong understanding of cardiac rhythms, ECG interpretation, and typically a certification such as Certified Cardiographic Technician (CCT) or equivalent. Familiarity with telemetry monitoring systems and hospital electronic health records (EHRs) is essential. Attention to detail, effective communication, and the ability to stay calm under pressure are standout soft skills in this role. These competencies are crucial for promptly detecting and reporting cardiac irregularities, ensuring patient safety, and supporting clinical teams remotely.

What is the difference between Remote Monitor Tech vs Cardiac Monitor Technician?

AspectRemote Monitor TechCardiac Monitor Technician
CertificationsCPR, Basic Life Support (BLS), sometimes ECG or monitoring certificationsECG/EKG certification, BLS, CPR
Work EnvironmentRemote, hospital or healthcare facility monitoring centersHospital, clinic, or healthcare facility
Job DutiesMonitoring patient data remotely, alerting staff to issues, reviewing ECGsAttaching electrodes, monitoring ECGs, reporting abnormalities
Industry UsageWidely used in telehealth and remote patient monitoringTraditional in-hospital cardiac monitoring

Remote Monitor Techs primarily work remotely, focusing on monitoring patient data via electronic systems, while Cardiac Monitor Technicians work onsite, attaching electrodes and directly observing ECGs. Both roles require similar certifications like ECG and BLS, but their work environments and daily tasks differ significantly.

What is a remote monitor tech?

A Remote Monitor Tech, also known as a remote monitoring technician or telemetry technician, is a healthcare professional responsible for observing patients’ vital signs and cardiac rhythms from a remote location. They use specialized equipment to continuously monitor data from electrocardiograms (EKGs) and alert medical staff to any abnormalities. This role is essential in hospital settings to ensure patient safety, especially for those at risk of cardiac events. Remote Monitor Techs work closely with nurses and doctors to facilitate timely medical interventions. The position often requires attention to detail, technical skills, and the ability to interpret cardiac rhythms accurately.
What are popular job titles related to Remote Monitor Tech jobs in Suffolk, VA? For Remote Monitor Tech jobs in Suffolk, VA, the most frequently searched job titles are:
What job categories do people searching Remote Monitor Tech jobs in Suffolk, VA look for? The top searched job categories for Remote Monitor Tech jobs in Suffolk, VA are:
What cities near Suffolk, VA are hiring for Remote Monitor Tech jobs? Cities near Suffolk, VA with the most Remote Monitor Tech job openings:
Remote Monitor Tech jobs near you
Infographic showing various Remote Monitor Tech job openings in Suffolk, VA as of August 2026, with employment types broken down into 40% Full Time, 20% Part Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $41,826 per year, or $20.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Hampton, VA • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply