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Volunteer Rpa Developer Uipath Jobs in Sharon, WI

Manufacturing Engineer - Automation

Delavan, WI · On-site

$77K - $99K/yr

Support CNC process automation initiatives including robotic machine tending, pallet systems ... Manufacturing engineering experience supporting machining, molding, assembly, or high-volume ...

New

Support CNC process automation initiatives including robotic machine tending, pallet systems ... Manufacturing engineering experience supporting machining, molding, assembly, or high-volume ...

New

This position is responsible for developing and maintaining PLC, robotics, vision, and motion ... Analyze production processes and identify opportunities for automation and process optimization.

Automation Engineer

Janesville, WI · On-site

$85 - $125/hr

This position is responsible for developing and maintaining PLC, robotics, vision, and motion ... Analyze production processes and identify opportunities for automation and process optimization.

The Automation and Process Control Engineer role is based in Beloit, Wisconsin and requires an on-site presence. Be part of a collaborative, solution-oriented, growth-focused team where you will have ...

... processes. As part of an Automation Team, you will be involved with design, development, programming, and installation of Automated Systems. These systems include robotics, PLC controls, material ...

This potential opportunity could offer hands-on experience as part of an Agile engineering team, contributing to process automation, testing strategies, and design optimization. Interns in similar ...

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Showing results 1-20

Volunteer Rpa Developer Uipath information

See Sharon, WI salary details

$15

$49

$76

How much do volunteer rpa developer uipath jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for volunteer rpa developer uipath in Sharon, WI is $49.20, according to ZipRecruiter salary data. Most workers in this role earn between $37.60 and $60.19 per hour, depending on experience, location, and employer.

What is the difference between Volunteer Rpa Developer Uipath vs Rpa Developer?

AspectVolunteer Rpa Developer UipathRpa Developer
CertificationsUipath Certification, RPA toolsUipath Certification, RPA tools
Work EnvironmentVolunteer projects, non-profit or community-basedCorporate, enterprise, or client projects
Employer & IndustryNon-profit organizations, NGOs, community initiativesBusinesses across various industries
Search & Comparison IntentUnderstanding volunteer opportunities vs paid rolesComparing volunteer vs paid RPA roles

Volunteer Rpa Developer Uipath typically involves unpaid work for non-profit or community projects, focusing on skill development and social impact. Rpa Developer roles are paid positions within companies, often requiring similar certifications and skills but with a focus on enterprise automation solutions. The main difference lies in the work environment and compensation, with volunteer roles emphasizing community service and Rpa Developer roles centered on professional employment.

Infographic showing various Volunteer Rpa Developer Uipath job openings in Sharon, WI as of August 2026, with employment types broken down into 28% Full Time, and 72% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,334 per year, or $49.2 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rockford, IL • On-site

Other

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.