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Remote Monitoring Jobs in North Dakota (NOW HIRING)

Motorola

Senior AI Engineer (US Remote)

Michigan, ND · Remote

$180K - $210K/yr

AI observability & monitoring * Responsible AI & safety practices Skills & Experience Required ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

U.S. Fish and Wildlife Service

Biologist

Riverdale, ND · On-site +1

$61K - $97K/yr

Travel to remote study sites may be required via boats, small aircraft, snowmobiles, all-terrain ... quality monitoring, and routine adjustments; conduct broodstock handling, gamete processing, egg ...

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How much do remote monitoring jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote monitoring in North Dakota is $16.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $18.32 per hour, depending on experience, location, and employer.

What is remote monitoring?

A Remote Monitoring job involves overseeing systems, devices, or processes from a remote location using specialized software and tools. This role is common in industries like healthcare, IT, security, and industrial operations, where continuous monitoring is required to ensure efficiency, security, and performance. Responsibilities may include analyzing data, identifying issues, troubleshooting problems, and taking necessary actions without being physically present.

What are the typical daily responsibilities in remote monitoring?

In a Remote Monitoring position, your daily tasks usually involve overseeing system dashboards, analyzing alerts or data feeds, and responding to incidents as they arise. You may also be responsible for generating routine reports, documenting anomalies, and coordinating with on-site teams or technical support staff to resolve issues. Many roles require maintaining clear communication channels with stakeholders and following established protocols to ensure minimal downtime or disruption. This work is critical for businesses that depend on uninterrupted system performance, such as in IT infrastructure, facilities management, or industrial operations.

What are the key skills and qualifications needed to thrive in remote monitoring?

Excelling in a Remote Monitoring role requires a strong attention to detail, analytical thinking, and expertise in data interpretation, often supported by experience or education in IT, engineering, or a related technical field. Familiarity with remote monitoring software, IoT platforms, alarm management systems, and sometimes certifications like CompTIA Network+ or vendor-specific credentials are common technical requirements. Strong communication, problem-solving, and the ability to remain calm under pressure are important soft skills for success. These abilities ensure timely detection and response to issues, optimize system performance, and maintain safety and operational continuity.

What are popular job titles related to Remote Monitoring jobs in North Dakota?

For Remote Monitoring jobs in North Dakota, the most frequently searched job titles are:

What job categories do people searching Remote Monitoring jobs in North Dakota look for?

The top searched job categories for Remote Monitoring jobs in North Dakota are:

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Cities in North Dakota with the most Remote Monitoring job openings:

Remote Monitoring jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Minot, ND • Remote

Full-time

Re-posted 16 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