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Remote Process Engineer Jobs in Cheyenne, WY (NOW HIRING)

Globe Life Inc.

Sr. Salesforce Developer (Remote)

Cheyenne, WY · On-site +1

$118K - $145K/yr

Sr. Salesforce Developer (Remote) Primary Duties & Responsibilities At Globe Life, we are committed ... Define, communicate, and manage a change management process for developing and implementing new ...

Quora

iOS Engineer -Remote

Cheyenne, WY · Remote

$61.63 - $88.47/hr

Own the entire software development process from timeline estimation to coding, testing and release ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

ABB

Commercial Proposal Engineer

Cheyenne, WY · Remote

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... Ensure alignment with ABB processes and focus on high-probability, high-profitability opportunities.

MasTec Industrial

Engineer, E&I

Cheyenne, WY · On-site +1

$140K - $180K/yr

This is a remote role and can be based anywhere in the United States. Must be able to travel up to ... Prepare and maintain proposal technical exceptions and clarifications during the proposal process

ABB

Service Sales Specialist

Cheyenne, WY · Remote

Remote {#LI-Remote}, this role provides support for the East Coast and will require East Coast ... Process orders once received and ensure proper handoff to operations. * Gather and report ...

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All JobsProcess Engineer JobsRemote Process Engineer JobsRemote Process Engineer Jobs in Cheyenne, WY

Remote Process Engineer information

See Cheyenne, WY salary details

$46.9K

$87.2K

$135K

How much do remote process engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote process engineer in Cheyenne, WY is $87,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $97,600.00 per year, depending on experience, location, and employer.

Can a remote process engineer work from home?

Yes, many remote process engineers work from home, utilizing tools like CAD software, data analysis programs, and communication platforms. The role often involves collaboration with teams and requires strong technical skills, but physical presence in an office is typically not necessary.

What does a remote process engineer do?

A typical day for a Remote Process Engineer involves analyzing process data, developing optimization strategies, creating technical documentation, and conducting virtual meetings with cross-functional teams such as operations, quality assurance, and project management. Much of the communication is carried out via video conferencing, collaborative project platforms, and email, making it important to be proactive and clear in updates. While working offsite, you'll still be expected to participate in team meetings, report progress, and seek input from on-site staff when needed. This structure enables you to maintain close collaboration and contribute meaningfully to project goals, despite the physical distance.

What are the key skills and qualifications needed to thrive as a remote process engineer?

A Remote Process Engineer needs a strong background in engineering principles, process optimization, and data analysis, typically supported by a degree in chemical, mechanical, or industrial engineering. Familiarity with process simulation software (like Aspen HYSYS or AutoCAD), Six Sigma or Lean certifications, and experience with remote collaboration tools are usually required. Excellent communication skills, problem-solving abilities, and self-motivation are crucial to excel in a remote setting. These skills and qualities are vital to ensure efficient project execution, effective remote collaboration, and continuous improvement of processes in a distributed work environment.

What is a remote process engineer?

A Remote Process Engineer is responsible for designing, analyzing, and optimizing manufacturing or business processes while working remotely. They use data analysis, simulations, and process improvement techniques to enhance efficiency, reduce costs, and improve quality. This role often involves collaborating with cross-functional teams through virtual communication tools. Industries such as manufacturing, energy, and technology frequently hire remote process engineers to streamline operations. Strong problem-solving, technical expertise, and communication skills are essential for success in this role.

What are the most commonly searched types of Process Engineer jobs in Cheyenne, WY? The most popular types of Process Engineer jobs in Cheyenne, WY are:
What job categories do people searching Remote Process Engineer jobs in Cheyenne, WY look for? The top searched job categories for Remote Process Engineer jobs in Cheyenne, WY are:
Remote Process Engineer jobs near you
Infographic showing various Remote Process Engineer job openings in Cheyenne, WY as of August 2026, with employment types broken down into 94% Full Time, 2% Temporary, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,197 per year, or $41.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Cheyenne, WY • Remote

Full-time

Re-posted 16 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