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Remote Validation Engineer Jobs in Springfield, IL

MSR Technology Group

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

Senior Data Engineer (ETL / Python Developer) Remote (Must reside within the Continental U.S.) No ... Implement data validation, reconciliation, and data quality processes * Collaborate with architects ...

MSR Technology Group

EDW MDM ETL Expert

Springfield, IL · Remote

MDM ETL Technical Lead Remote | U.S. Candidates Only Overview We are seeking an experienced MDM ETL ... Provide technical leadership to MDM ETL developers and specialists * Design, develop, and support ...

CSpring

MDM Data Quality Analyst

Springfield, IL · Remote

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data ... Fully remote across the continental U.S., with a team that's warm and grounded and doesn't treat ...

Hansoninc

Cultural Resource Specialist

Springfield, IL · On-site +1

$60K - $80K/yr

Coordinate with engineers, planners, environmental scientists, and project managers to support ... Valid driver's license and ability to travel for field assignments. Preferred Qualifications

micro1 AI

Director of Biostatistics

Springfield, IL · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Author and review evaluation tasks that require deriving, reproducing, or validating statistical ...

All JobsValidation Engineer JobsRemote Validation Engineer JobsRemote Validation Engineer Jobs in Springfield, IL

Remote Validation Engineer information

See Springfield, IL salary details

$22

$51

$77

How much do remote validation engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for remote 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 is a remote validation engineer?

A Remote Validation Engineer is responsible for testing and verifying that products, systems, or software meet required specifications and function correctly. They develop test plans, run simulations, analyze data, and document results—all while working remotely. This role is common in industries like automotive, semiconductor, and software development, ensuring quality and compliance with standards. Strong technical skills, attention to detail, and proficiency with validation tools are essential.

What are the typical day-to-day responsibilities of a remote validation engineer?

Remote Validation Engineers are responsible for developing and executing test plans, analyzing results, and documenting findings to ensure products meet required standards and specifications. They often collaborate virtually with design, development, and quality teams to identify issues and recommend improvements. Daily tasks may include running automated tests, preparing validation reports, participating in team meetings, and troubleshooting system behaviors. Adapting to shifting project requirements and effectively communicating in a remote setting are also integral parts of the role.

What are the key skills and qualifications needed to thrive as a remote validation engineer, and why are they important?

To thrive as a Remote Validation Engineer, you need a strong background in engineering or computer science, expertise in validation protocols, and experience with testing methodologies. Familiarity with validation tools such as simulation software, automated test platforms, and knowledge of industry compliance standards (e.g., ISO, FDA, or automotive standards) is typically required, and certifications like ISTQB can be beneficial. Excellent problem-solving skills, attention to detail, and strong written and verbal communication are important for collaborating across distributed teams. These skills ensure the effectiveness and reliability of complex products or systems while supporting seamless teamwork in a remote work environment.

Are remote validation engineers in demand?

Remote validation engineers are in demand due to the increasing need for quality assurance and compliance in various industries, especially in technology and manufacturing. They often require skills in testing tools, automation, and industry standards, making remote work a viable option for qualified professionals.

Do remote validation engineers make good money?

Remote validation engineers typically earn competitive salaries that vary based on experience, location, and industry. They often require skills in testing, automation tools, and quality assurance, which can influence earning potential. Overall, the role can offer a solid income, especially with specialized skills and certifications.

What are the most commonly searched types of Validation Engineer jobs in Springfield, IL?

The most popular types of Validation Engineer jobs in Springfield, IL are:

What are popular job titles related to Remote Validation Engineer jobs in Springfield, IL?

For Remote Validation Engineer jobs in Springfield, IL, the most frequently searched job titles are:

What cities near Springfield, IL are hiring for Remote Validation Engineer jobs?

Cities near Springfield, IL with the most Remote Validation Engineer job openings:

Remote Validation Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, IL • Remote

Full-time

Re-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