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Remote Cleaning Validation Engineer Jobs in Springfield, IL

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Write clean, testable Python code for transformation, orchestration, and data quality * Integrate ...

Maximus

Junior Security Engineer

Springfield, IL · Remote

This is a remote position. Maximus TCS (Technology and Consulting Services) Internal Job Profile ... validation activities related to patching, upgrades, configuration changes, and cyber actions ...

Maximus

AI/ML Software Developer

Springfield, IL · Remote

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... Implements model monitoring, performance validation, traceability, and reproducibility of AI ...

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Remote Cleaning Validation Engineer information

See Springfield, IL salary details

$22

$51

$77

How much do remote cleaning validation engineer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for remote cleaning validation engineer in Springfield, IL is $51.53, according to ZipRecruiter salary data. Most workers in this role earn between $39.09 and $62.64 per hour, depending on experience, location, and employer.

What are Remote Cleaning Validation Engineers?

Remote Cleaning Validation Engineers are professionals who specialize in ensuring that cleaning processes in industries such as pharmaceuticals, biotechnology, and food production meet regulatory standards and are effective in removing contaminants. They perform validation activities, such as developing protocols, reviewing documentation, and analyzing data, all while working remotely using digital tools and communication platforms. Their main goal is to confirm that cleaning processes are reliable and reproducible, helping companies stay compliant with industry regulations. Their work often involves collaboration with on-site personnel and regulatory agencies. Remote Cleaning Validation Engineers play a crucial role in maintaining product safety and quality.

How does a Remote Cleaning Validation Engineer collaborate with on-site teams to ensure compliance and effective validation?

As a Remote Cleaning Validation Engineer, collaboration with on-site teams is typically achieved through regular virtual meetings, detailed documentation reviews, and the use of digital monitoring systems. You’ll often coordinate with production, quality assurance, and maintenance staff to gather process data, review cleaning procedures, and address compliance gaps. Effective communication is key, as you will provide guidance, troubleshoot remotely, and sometimes conduct virtual walkthroughs. Building strong working relationships and clear reporting structures helps ensure that all validation protocols are consistently met, even from a distance.

What is the difference between Remote Cleaning Validation Engineer vs Remote Quality Assurance Specialist?

AspectRemote Cleaning Validation EngineerRemote Quality Assurance Specialist
CertificationsGMP, validation, and industry-specific certificationsGMP, QA, and compliance certifications
Work EnvironmentPharmaceutical/biotech manufacturing, validation labsRegulatory agencies, manufacturing, quality departments
Employer & Industry UsagePharmaceutical, biotech, medical device companiesPharmaceutical, biotech, healthcare organizations

The Remote Cleaning Validation Engineer focuses on validating cleaning processes to ensure compliance with industry standards, while the Remote Quality Assurance Specialist oversees overall quality systems and compliance. Both roles require GMP knowledge and industry certifications, often working remotely within pharmaceutical or biotech sectors. The main difference lies in their specific responsibilities: validation versus quality assurance oversight.

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

To thrive as a Remote Cleaning Validation Engineer, you need a solid background in chemical engineering, biotechnology, or a related field, along with experience in cleaning validation processes and regulatory guidelines. Familiarity with validation protocols, data analysis tools, and documentation systems such as GMP software and LIMS is essential. Excellent attention to detail, problem-solving abilities, and strong communication skills are crucial for collaborating with cross-functional teams and ensuring compliance from a distance. These competencies ensure effective validation, regulatory compliance, and operational efficiency in remote or distributed manufacturing environments.
What are popular job titles related to Remote Cleaning Validation Engineer jobs in Springfield, IL? For Remote Cleaning Validation Engineer jobs in Springfield, IL, the most frequently searched job titles are:
What cities near Springfield, IL are hiring for Remote Cleaning Validation Engineer jobs? Cities near Springfield, IL with the most Remote Cleaning Validation Engineer job openings:
Remote Cleaning Validation Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, IL • Remote

Full-time

Posted 13 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