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Freelance Rpa Jobs in Michigan (NOW HIRING)

Hitachi

Robotics Process Engineer II

Lake Orion, MI · On-site

ESYS AUTOMATION, LLC Profession (Job Category): Engineering & Science Job Schedule: Full time ... Apply cycle time improvement strategies to optimize robotic applications * Confirm robot models and ...

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How much do freelance rpa jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for freelance rpa in Michigan is $41.58, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $53.85 per hour, depending on experience, location, and employer.

What is a freelance RPA?

A Freelance RPA job involves designing, developing, and implementing Robotic Process Automation (RPA) solutions on a contract or project basis. Freelancers in this field work with businesses to automate repetitive tasks using RPA tools like UiPath, Automation Anywhere, or Blue Prism. They may be responsible for assessing automation opportunities, building bots, and maintaining automation scripts. This role requires expertise in RPA technologies, problem-solving skills, and often a background in process optimization or software development. Freelancers can work remotely or on-site, depending on the client’s needs.

What are the key skills and qualifications needed to thrive as a freelance RPA?

To thrive as a Freelance RPA (Robotic Process Automation) professional, you need strong programming skills, a deep understanding of business processes, and experience with automation tools such as UiPath, Blue Prism, or Automation Anywhere. Familiarity with RPA certifications and version control systems like Git is often highly valued by clients. Excellent problem-solving abilities, effective communication, and adaptability are key soft skills for collaborating with various stakeholders and addressing changing client needs. These competencies allow you to deliver efficient automation solutions, maintain positive client relationships, and succeed in an ever-evolving technology landscape.

What are the typical challenges faced by freelance RPA professionals, and how can they be managed?

Freelance RPA professionals often face challenges such as quickly understanding diverse clients' business processes, managing multiple projects simultaneously, and staying current with evolving automation technologies. Working independently means you must handle project scoping, stakeholder communication, and troubleshooting without direct support from a larger team. Successfully managing these challenges involves building strong organizational skills, continuously expanding your technical knowledge, and maintaining open communication with clients to set clear expectations. Networking with other RPA professionals and participating in online communities can also provide valuable support and resources.

What are the most commonly searched types of Rpa jobs in Michigan?

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What are popular job titles related to Freelance Rpa jobs in Michigan?

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Freelance Rpa jobs near you
Infographic showing various Freelance Rpa job openings in Michigan as of August 2026, with employment types broken down into 75% Full Time, 11% Part Time, 3% Temporary, and 11% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $86,489 per year, or $41.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Warren, MI • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

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