ZipRecruiter

Log In

2

Rpa Remote Jobs in Michigan (NOW HIRING)

Formic

Automation Sales Manager

Detroit, MI · Remote

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... Strong understanding of manufacturing operations and industrial buying processes * Ability to ...

Formic

Automation Sales Manager

Grand Rapids, MI · Remote

We deliver automation through a Robotics-as-a-Service model that combines industrial robotics ... Strong understanding of manufacturing operations and industrial buying processes * Ability to ...

EnerSys

Senior Finance AI & Automation Developer

Novi, MI · On-site +1

$95K - $119K/yr

... remote arrangement. Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design, build, & deploy automation and AI-driven solutions across Finance processes.

next page

Showing results 1-20

All JobsRpa JobsRpa Remote JobsRpa Remote Jobs in Michigan

Rpa Remote information

See Michigan salary details

$17

$21

$29

How much do rpa remote jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for rpa remote in Michigan is $21.94, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $22.02 per hour, depending on experience, location, and employer.

What is an RPA remote job?

An RPA Remote job involves working with Robotic Process Automation (RPA) technologies from a remote location, rather than on-site. Professionals in these roles design, develop, test, and maintain software robots that automate repetitive business processes. The remote aspect means all tasks, including collaboration and troubleshooting, are done online using digital communication tools. This setup allows for flexibility and access to global opportunities within the growing field of automation.

What are some common challenges faced by RPA professionals working remotely, and how can they overcome them?

Remote RPA professionals often encounter challenges in collaborating with cross-functional teams, particularly when troubleshooting automation issues or aligning on project requirements. To overcome these challenges, it's important to establish clear communication channels, utilize collaborative tools for code sharing and project management, and schedule regular virtual check-ins with stakeholders. Additionally, maintaining thorough documentation and participating in remote peer reviews can help ensure alignment and quality in automation projects.

What is the difference between Rpa Remote vs Rpa Developer?

AspectRpa RemoteRpa Developer
Required CredentialsRPA certifications, basic programming knowledgeRPA certifications, programming skills (Python, Java)
Work EnvironmentRemote, flexibleRemote or on-site, collaborative
Industry UsageBusiness process automation across industriesDeveloping and maintaining RPA bots
Common Search IntentFinding remote RPA rolesLearning about RPA development jobs

Rpa Remote roles focus on executing automation tasks remotely, often requiring basic RPA knowledge and certifications. Rpa Developers, however, are responsible for designing and building automation solutions, typically needing programming skills. Both roles are integral to RPA projects but differ in responsibilities and skill requirements.

What are the key skills and qualifications needed to thrive as an RPA remote specialist, and why are they important?

To thrive as an RPA Remote Specialist, you need strong analytical abilities, experience with process automation, and a background in computer science or related fields. Familiarity with RPA tools such as UiPath, Blue Prism, or Automation Anywhere, along with certifications in these platforms, is typically required. Excellent problem-solving, communication, and self-management skills help you collaborate effectively and stay productive in a remote environment. These skills are crucial for designing efficient automation solutions, ensuring seamless implementation, and maintaining high performance while working independently.
More about Rpa Remote jobs
What are the most commonly searched types of Rpa jobs in Michigan? The most popular types of Rpa jobs in Michigan are:
What are popular job titles related to Rpa Remote jobs in Michigan? For Rpa Remote jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Rpa Remote jobs in Michigan look for? The top searched job categories for Rpa Remote jobs in Michigan are:
What cities in Michigan are hiring for Rpa Remote jobs? Cities in Michigan with the most Rpa Remote job openings:
Rpa Remote jobs near you
Infographic showing various Rpa Remote job openings in Michigan as of July 2026, with employment types broken down into 69% Full Time, 10% Part Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $45,637 per year, or $21.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lansing, MI • Remote

Full-time

Re-posted 13 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