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Weekend Remote Process Engineer Jobs in Erie, PA

Quora

AI Automation Engineer -Remote

Erie, PA · 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

iOS Engineer -Remote

Erie, PA · Remote

$166K - $191K/yr

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 ...

Power System Engineering Inc

Substation Engineer

Erie, PA · Remote

$121K - $144K/yr

What We Are Looking For: We're looking for a remote Substation Engineer to lead substation design ... We are committed to fairness and transparency in our hiring process. Compensation may be adjusted ...

ABB

Regional Sales Manager

Erie, PA · Remote

$98K - $157K/yr

... process in your assigned area. You will also showcase your expertise by participating in sales ... The work model for the role is : #LI-Remote in the US with 60% travel required. This role is ...

ABB

Data Center COE Project Management Leader

Erie, PA · Remote

$119K - $190K/yr

Remote in the US This role is contributing to the ELSE Data Center Services Center of Excellence in ... Bachelor's degree in Engineering preferred (Master's degree or MBA is a plus) * 10+ years of ...

All JobsWeekend Remote Process Engineer JobsWeekend Remote Process Engineer Jobs in Erie, PA

Weekend Remote Process Engineer information

See Erie, PA salary details

$48K

$89.2K

$138.1K

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

As of Jun 10, 2026, the average yearly pay for weekend remote process engineer in Erie, PA is $89,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $99,800.00 per year, depending on experience, location, and employer.

What are Weekend Remote Process Engineers?

Weekend Remote Process Engineers are professionals who design, analyze, and optimize industrial or business processes, but their work is specifically scheduled for weekends and performed remotely. They often support ongoing operations, troubleshoot issues, and implement process improvements during off-peak times to minimize disruption to regular business activities. Their role requires strong technical knowledge, problem-solving skills, and the ability to communicate effectively with on-site teams while working from a remote location.

What is the difference between Weekend Remote Process Engineer vs Weekend Remote Manufacturing Technician?

AspectWeekend Remote Process EngineerWeekend Remote Manufacturing Technician
CredentialsBachelor's in Engineering or related field, certifications like Six SigmaTechnical diploma or associate degree, technical certifications
Work EnvironmentOffice or remote, process optimization focusManufacturing plants, equipment maintenance
Industry UsageManufacturing, industrial engineeringManufacturing, production facilities

The Weekend Remote Process Engineer primarily focuses on optimizing manufacturing processes remotely, requiring engineering credentials. In contrast, the Weekend Remote Manufacturing Technician handles equipment maintenance and troubleshooting, often with technical diplomas. Both roles are common in manufacturing industries and may be performed remotely on weekends, but their core responsibilities and required qualifications differ.

What are the key skills and qualifications needed to thrive as a Weekend Remote Process Engineer, and why are they important?

To thrive as a Weekend Remote Process Engineer, you need a solid background in process engineering, problem-solving, and a relevant engineering degree such as chemical, industrial, or mechanical engineering. Familiarity with process simulation software, data analysis tools, and remote collaboration platforms is typically required, and certifications like Six Sigma can be beneficial. Strong communication, self-motivation, and the ability to work independently are essential soft skills for excelling in a remote weekend role. These skills ensure efficient process optimization, effective teamwork across distances, and the ability to address issues promptly outside standard hours.

How does a Weekend Remote Process Engineer typically collaborate with on-site teams and ensure smooth handoffs during shift changes?

As a Weekend Remote Process Engineer, effective collaboration with on-site teams is crucial, especially during shift changes. Communication is often managed through detailed shift reports, virtual meetings, and real-time messaging platforms to ensure that all stakeholders are updated on ongoing processes and any issues encountered. Remote engineers are expected to document their work meticulously and proactively flag any potential concerns for the next team. Building strong relationships with on-site staff and other remote colleagues helps ensure seamless operations and quick problem resolution, even when working from different locations and time zones.
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Weekend Remote Process Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Erie, PA • Remote

Other

Posted 18 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