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Remote E Learning Jobs in West Virginia (NOW HIRING)

Workiva

$21/hr

You will contribute to the ongoing development and effectiveness of the sales team's learning and ... Experience with various technologies; i.e. Google Suite, MicroSoft Office, Salesforce, LinkedIn ...

Workiva

$21/hr

You will contribute to the ongoing development and effectiveness of the sales team's learning and ... Experience with various technologies; i.e. Google Suite, MicroSoft Office, Salesforce, LinkedIn ...

Workiva

$21/hr

You will contribute to the ongoing development and effectiveness of the sales team's learning and ... Experience with various technologies; i.e. Google Suite, MicroSoft Office, Salesforce, LinkedIn ...

Workiva

$21/hr

You will contribute to the ongoing development and effectiveness of the sales team's learning and ... Experience with various technologies; i.e. Google Suite, MicroSoft Office, Salesforce, LinkedIn ...

Workiva

$21/hr

You will contribute to the ongoing development and effectiveness of the sales team's learning and ... Experience with various technologies; i.e. Google Suite, MicroSoft Office, Salesforce, LinkedIn ...

nLine

Using at least one popular cloud provider (i.e. GCP, AWS, etc) * Deploying, managing, and ... Subsidies/reimbursements for remote office setup * Subsidies for professional learning ...

Zayo

Head of AI - Platform AI

Charleston, WV · Remote

$215K - $245K/yr

This role focuses on implementing cutting-edge machine learning, deep learning, and automation ... This remote work role will consider applicants that currently reside in the continental United ...

GDIT

MBSE Engineer

WV · On-site +1

$110K - $149K/yr

Must be able to model systems via different perspectives (e.g. capability, operational, system ... Remote but within proximity of Hanscom or a DAF base for occasional onsite duties GDIT IS YOUR ...

Miamioh

This organization participates in E-Verify. Remote Work For positions that are approved for remote ... We defend the freedom of inquiry that is the heart of learning and combine that freedom with the ...

Williammary

D. programs in higher education, K-12 administration, and curriculum and learning design. Required ... Position Restrictions: Continuing E&G funded position and not term-limited EEO is the Law.

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Remote E Learning information

What is a remote e learning?

A Remote E Learning job involves working online to create, manage, or support digital education programs. This can include roles such as instructional design, e-learning development, online teaching, or learning management system (LMS) administration. These jobs allow professionals to develop and deliver educational content without being physically present in a classroom. Many remote e-learning jobs require expertise in digital education tools, online course creation, and virtual communication.

What are some common challenges faced when working in remote e learning?

One common challenge in Remote E Learning roles is maintaining high levels of engagement and interaction with students who may be geographically dispersed and have varying levels of digital literacy. Adapting course materials and delivery methods to suit a wide range of learning styles can also be demanding, as is troubleshooting technical issues in real time. Collaborating with instructional designers, subject matter experts, and technical support teams usually happens virtually, requiring proactive communication and strong organization skills. However, with effective digital tools and a learner-centered mindset, many professionals find these challenges rewarding opportunities for creativity and innovation.

What are the key skills and qualifications needed to thrive in remote e learning, and why are they important?

To excel in Remote E Learning roles, you need expertise in instructional design, digital pedagogy, and often a background in education or a related field. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, e-learning authoring tools such as Articulate or Captivate, and sometimes certifications in online teaching or instructional technology are highly valued. Strong communication, time management, and creative problem-solving are vital soft skills for engaging remote learners and collaborating with virtual teams. These abilities ensure effective curriculum delivery, learner engagement, and smooth project execution in a fully remote environment.

What are popular job titles related to Remote E Learning jobs in West Virginia?

For Remote E Learning jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Remote E Learning jobs in West Virginia look for?

The top searched job categories for Remote E Learning jobs in West Virginia are:

What cities in West Virginia are hiring for Remote E Learning jobs?

Cities in West Virginia with the most Remote E Learning job openings:

Remote E Learning jobs near you
Infographic showing various Remote E Learning job openings in West Virginia as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Parkersburg, WV • Remote

Full-time

Re-posted 19 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