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Remote Workflow Automation Jobs in Round Lake, IL

Mindlance

Content Engineer I

Lincolnshire, IL · On-site +1

$129.50K - $134.80K/yr

Lincolnshire, IL (100% Remote/Hybrid) Duration: 9+ Months Type: Full-Time, Contract Description ... AI-driven content systems & automation workflows * Prompt engineering (drafting, testing, refining ...

Excelgens

Content Engineer I

Lincolnshire, IL · On-site +1

$129.50K - $134.80K/yr

Remote/Hybrid - Onshore Summary: The Content Engineer is responsible for designing, building, and ... automation workflows, or structured content generation - Strong analytical and problem-solving ...

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Remote Workflow Automation information

See Round Lake, IL salary details

$35.5K

$102.7K

$156.3K

How much do remote workflow automation jobs pay per year?

As of May 28, 2026, the average yearly pay for remote workflow automation in Round Lake, IL is $102,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $118,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Workflow Automation Specialist, and why are they important?

To thrive as a Remote Workflow Automation Specialist, you need strong analytical skills, process optimization experience, and a background in IT or business process management. Familiarity with automation tools like Zapier, Microsoft Power Automate, or UiPath, as well as relevant certifications, is typically required. Excellent communication, problem-solving, and self-management skills distinguish top performers in remote environments. These competencies enable efficient process streamlining, effective team collaboration, and successful automation project delivery from any location.

What are some common challenges faced when managing workflow automation remotely, and how can they be addressed?

One common challenge in remote workflow automation roles is ensuring seamless communication and coordination across distributed teams, especially when automating processes that involve multiple departments. It's important to establish clear documentation, standardized procedures, and regular check-ins to keep everyone aligned. Additionally, remote professionals must be proactive in monitoring automated workflows for errors or inefficiencies, often requiring robust reporting tools and strong troubleshooting skills. Leveraging collaborative platforms and fostering a culture of transparency can help overcome these challenges and ensure smooth automation projects.

What is remote workflow automation?

Remote workflow automation refers to the use of technology and software tools to automate business processes and tasks that can be managed from any location. This approach helps organizations streamline operations, reduce manual effort, and improve efficiency, especially for distributed or remote teams. By automating repetitive tasks, businesses can focus on higher-value work and maintain productivity regardless of team members' physical locations. Tools like Zapier, Microsoft Power Automate, and others are commonly used to set up these automated workflows.

What is the difference between Remote Workflow Automation vs Remote Business Analyst?

AspectRemote Workflow AutomationRemote Business Analyst
Required CredentialsTechnical certifications (e.g., RPA tools, scripting)Business analysis certifications (e.g., CBAP, PMI-PBA)
Work EnvironmentFocus on automation tools, scripting, and process optimizationFocus on requirements gathering, process analysis, and stakeholder communication
Employer & Industry UsageTech companies, automation service providers, large enterprisesConsulting firms, finance, healthcare, and corporate sectors
Search & Comparison IntentAutomation, RPA, process improvementBusiness processes, requirements analysis, project management

Remote Workflow Automation specialists focus on implementing automation tools and scripting to streamline processes, often requiring technical certifications. Remote Business Analysts analyze business needs, gather requirements, and communicate with stakeholders. While both roles improve efficiency, they differ in technical depth and focus areas, with automation roles being more technical and analysis roles more strategic.

What are popular job titles related to Remote Workflow Automation jobs in Round Lake, IL? For Remote Workflow Automation jobs in Round Lake, IL, the most frequently searched job titles are:
What cities near Round Lake, IL are hiring for Remote Workflow Automation jobs? Cities near Round Lake, IL with the most Remote Workflow Automation job openings:
Remote Workflow Automation jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Kenosha, WI • Remote

Other

Posted 5 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