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Remote Process Engineer Jobs in Houston, TX (NOW HIRING)

Radial

Remote - Industrial Engineer

Houston, TX · Remote

$105K - $179K/yr

Support the design of storage and processing areas, develop new workflows and procedures, work ... Bachelor's Degree in Industrial Engineering or equivalent work experience. * Minimum of at least 3 ...

HungerRush

Software Engineer II (Remote)

Houston, TX · Remote

$99K - $136K/yr

Our focus is on embedding AI into our internal processes to streamline development, improve ... We're looking for engineers who are excited to be part of this transformation and who want to ...

Quora

AI Automation Engineer -Remote

Houston, TX · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

The Woodlands, TX · On-site +1

$202K - $234K/yr

Use AI as much as possible to automate your own process of creating this software * Collaborate ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Diverse Lynx LLC

UCM Engineer

Houston, TX · Remote

Remote Work Emp Type: Contract (C2C/W2) Interview: Phone/Skype UCM engineers who have experience ... to processes related to tickets update with meaningful and correct notes Respond to network ...

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All JobsRemote Process Engineer JobsRemote Process Engineer Jobs in Houston, TX

Remote Process Engineer information

See Houston, TX salary details

$47.3K

$87.9K

$136.1K

How much do remote process engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for remote process engineer in Houston, TX is $87,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $98,400.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Remote Process Engineer and how do they interact with colleagues?

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 in the Remote Process Engineer position, and why are they important?

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 job?

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 Houston, TX? The most popular types of Process Engineer jobs in Houston, TX are:
What are popular job titles related to Remote Process Engineer jobs in Houston, TX? For Remote Process Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Process Engineer jobs in Houston, TX look for? The top searched job categories for Remote Process Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Process Engineer jobs? Cities near Houston, TX with the most Remote Process Engineer job openings:
Remote Process Engineer jobs near you
Infographic showing various Remote Process Engineer job openings in Houston, TX as of June 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $87,874 per year, or $42.2 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

The Woodlands, TX • Remote

Full-time

Posted 10 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