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Remote E Learning Content Editor Jobs in Beloit, WI

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 ...

Support the creation and refinement of marketing collateral through research and content curation ... Be proficient in Microsoft Office suite (e.g., Excel, Word, PowerPoint) or similar applications

Psychiatrist - Part Time/Full Time

Beloit, WI ยท Remote

$325K - $375K/yr

Minimal administrative burden in a fully remote, outpatient model What your day-to-day practice ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

Minimal administrative burden in a fully remote, outpatient model What your day-to-day practice ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

Minimal administrative burden in a fully remote, outpatient model What your day-to-day practice ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

Showing results 21-40

Remote E Learning Content Editor information

See Beloit, WI salary details

$16

$35

$54

How much do remote e learning content editor jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for remote e learning content editor in Beloit, WI is $35.27, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $40.91 per hour, depending on experience, location, and employer.

What is the difference between Remote E Learning Content Editor vs Remote Instructional Designer?

AspectRemote E Learning Content EditorRemote Instructional Designer
CredentialsTypically requires a degree in education, communications, or related fields; certifications in e-learning tools are a plusOften requires a degree in education, instructional design, or related fields; certifications like ATD or ISTE are common
Work EnvironmentPrimarily remote, working with content teams and subject matter expertsPrimarily remote, collaborating with stakeholders to design and develop learning experiences
Employer & Industry UsageUsed by e-learning companies, educational institutions, corporate training providersUsed by educational institutions, corporate training departments, e-learning firms

While both roles involve working with digital learning materials remotely, the Remote E Learning Content Editor focuses on editing and refining existing content, whereas the Remote Instructional Designer is responsible for designing and developing new learning experiences. Understanding these differences helps job seekers identify the right role for their skills and career goals.

What are popular job titles related to Remote E Learning Content Editor jobs in Beloit, WI?

For Remote E Learning Content Editor jobs in Beloit, WI, the most frequently searched job titles are:

What cities near Beloit, WI are hiring for Remote E Learning Content Editor jobs?

Cities near Beloit, WI with the most Remote E Learning Content Editor job openings:

Generative AI Automation Engineer - Remote Job

Rockford, IL โ€ข Remote

EnthuZiastic
E-Learningย โ€ขย 11 - 50 employees

Full-time

Re-posted 25 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.