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Internship Rpa Pilot Jobs in Indianapolis, IN (NOW HIRING)

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Process Engineer

Plainfield, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support implementation of engineering changes and product modifications. * Assist with pilot builds ... Identify and support process automation opportunities and participate in testing new equipment and ...

Georg Utz Holding AG

Automation Engineer

Edinburgh, IN · On-site

$75K - $85K/yr

Collaborate with colleagues to integrate machine vision technology with UR robots for quality control, inspection, and process optimization. Automation System Enhancement: * Continuously identify ...

Danaher

Senior Financial Analyst

Indianapolis, IN

$81K - $101K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience using or implementing AI-enabled analytics, automation tools, or scripting (e.g., Python, SQL, Power Query, RPA, or similar). * Hands-on experience with ERP, CRM, pricing, or commissions ...

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Internship Rpa Pilot information

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How much do internship rpa pilot jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship rpa pilot in Indianapolis, IN is $16.54, according to ZipRecruiter salary data. Most workers in this role earn between $13.80 and $18.37 per hour, depending on experience, location, and employer.

What is an Internship RPA Pilot?

An Internship RPA Pilot is a temporary position where interns are introduced to Robotic Process Automation (RPA) by participating in pilot projects. These internships involve learning how to use RPA tools to automate repetitive business processes, analyzing workflows, and assisting in the development and deployment of automation solutions. Interns gain hands-on experience with RPA software, such as UiPath or Automation Anywhere, and work under the supervision of experienced professionals to support the initial implementation phases of RPA within an organization. The goal is to provide interns with practical skills and help organizations test the feasibility and benefits of RPA.

What types of projects might I work on as an Internship RPA Pilot, and how is mentorship typically provided?

As an RPA Pilot Intern, you'll likely assist with automating routine business processes using robotic process automation (RPA) tools, such as UiPath or Automation Anywhere. Typical projects involve analyzing existing workflows, designing automation scripts, and testing bots in controlled environments. Mentorship is usually provided by experienced RPA developers or project managers, who offer guidance through regular check-ins, code reviews, and collaborative problem-solving sessions. This supportive environment helps you quickly build practical skills and gain exposure to real-world automation challenges.

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

To thrive as an Internship RPA Pilot, you need a basic understanding of process automation concepts, programming fundamentals (such as Python or JavaScript), and a relevant academic background in IT or engineering. Familiarity with Robotic Process Automation (RPA) tools like UiPath, Blue Prism, or Automation Anywhere, as well as any introductory certifications in these platforms, is highly beneficial. Strong analytical thinking, attention to detail, and effective communication skills help interns excel in process analysis and cross-functional collaboration. These skills are crucial for developing efficient automation solutions and ensuring seamless integration within business operations.

What is the difference between Internship Rpa Pilot vs RPA Developer?

AspectInternship Rpa PilotRPA Developer
CredentialsBasic understanding of RPA tools, often pursuing related educationRelevant certifications (e.g., UiPath, Automation Anywhere), programming skills
Work EnvironmentEntry-level, supervised, learning-focusedFull-time, project-driven, technical
Employer UsageInternship programs, training rolesDevelopment teams, automation projects

The Internship Rpa Pilot is an entry-level role designed for learning and gaining initial experience in RPA, often as part of an internship program. In contrast, an RPA Developer is a full-time professional responsible for designing, developing, and maintaining automation solutions. While the internship focuses on training, the developer role requires technical expertise and experience.

What are popular job titles related to Internship Rpa Pilot jobs in Indianapolis, IN?

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The top searched job categories for Internship Rpa Pilot jobs in Indianapolis, IN are:

Internship Rpa Pilot jobs near you
Infographic showing various Internship Rpa Pilot job openings in Indianapolis, IN as of August 2026, with employment types broken down into 8% Internship, 60% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $34,406 per year, or $16.5 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Indianapolis, IN • On-site

Other

Re-posted 28 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