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Remote Chemical Process Engineer Jobs in Wheeling, WV

Quora

iOS Engineer -Remote

Wheeling, WV · 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 ...

ICF

Data Engineer (Remote)

Glen Dale, WV · Remote

$96K - $116K/yr

Implement data quality processes (cleansing, deduplication, reconciliation) to ensure accuracy and ... engineering, data migration, or data integration roles * Proven experience executing large-scale ...

Moderna

Intern, CMC Development (Summer 2027)

Wheeling, WV · On-site +1

$20 - $60/hr

Perform process scale-up, support technology transfer and provide manufacturing support at internal ... Current student enrolled in a Bachelors or Masters program in Chemical Engineering, Biochemical ...

New

Workiva

Spring 2027 Intern - Sales Analyst

Wheeling, WV · On-site +1

$21/hr

Promote process improvement for new and existing processes * Validate and research sales-related ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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All JobsChemical Process Engineer JobsRemote Chemical Process Engineer JobsRemote Chemical Process Engineer Jobs in Wheeling, WV

Remote Chemical Process Engineer information

See Wheeling, WV salary details

$45.3K

$100.9K

$161.4K

How much do remote chemical process engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote chemical process engineer in Wheeling, WV is $100,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $114,100.00 per year, depending on experience, location, and employer.

What is a remote chemical process engineer?

A Remote Chemical Process Engineer designs, analyzes, and optimizes chemical manufacturing processes while working from a remote location. They use simulation software, data analysis, and virtual collaboration tools to improve efficiency, safety, and sustainability in chemical production. Responsibilities may include process design, troubleshooting, scaling operations, and ensuring regulatory compliance. Remote engineers often coordinate with on-site teams, suppliers, and clients through digital communication. This role requires strong problem-solving skills and expertise in chemical engineering principles to enhance industrial processes effectively.

What are the typical daily responsibilities of a remote chemical process engineer?

As a Remote Chemical Process Engineer, your day-to-day tasks often include analyzing process data, designing or optimizing chemical processes, creating technical documentation, and troubleshooting operational issues. You'll regularly use process simulation software and collaborate virtually with cross-functional teams such as project managers, plant operators, and safety specialists. Participation in virtual meetings, providing technical support, and ensuring compliance with safety and environmental regulations are also common parts of the job. This role requires managing your own schedule efficiently while staying responsive to the needs of both internal and external stakeholders.

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

To thrive as a Remote Chemical Process Engineer, you need a solid background in chemical engineering principles, process design, and troubleshooting, typically supported by a relevant engineering degree and professional certifications like a PE or EIT. Familiarity with process simulation software (such as Aspen Plus or HYSYS), data analysis tools, and remote collaboration platforms is important. Strong problem-solving skills, effective time management, and clear communication are essential for working autonomously and collaborating with distributed teams. These skills ensure efficient process optimization, regulatory compliance, and seamless teamwork despite remote work settings.

Can a remote chemical process engineer work from home?

A remote chemical process engineer can often work from home, especially if their role involves designing processes, data analysis, or software tools that can be accessed remotely. However, some tasks may require on-site presence for equipment inspection, safety checks, or collaboration with plant personnel. The feasibility depends on the company's policies and the specific responsibilities of the position.

What are popular job titles related to Remote Chemical Process Engineer jobs in Wheeling, WV?

For Remote Chemical Process Engineer jobs in Wheeling, WV, the most frequently searched job titles are:

Remote Chemical Process Engineer jobs near you
Infographic showing various Remote Chemical Process Engineer job openings in Wheeling, WV as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $100,938 per year, or $48.5 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Wheeling, WV • Remote

Full-time

Re-posted 14 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