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Remote Computational Engineering Jobs in Illinois

Alignerr

Mechanical Engineering

Chicago, IL · Remote

Familiarity with engineering simulation, FEA, or computational fluid dynamics workflows Why Join Us * Work on genuinely cutting-edge AI projects alongside top research labs * Fully remote and ...

Argonne National Laboratory

Computer Scientist/AI

Lemont, IL · On-site +1

$94.49K - $147.40K/yr

Educational background in computer science, computational science, a physical science, engineering ... Remote Work - Occasionally Onsite": which applies to employees typically working more than 60% of ...

Alignerr

Applied Physics Specialist

Chicago, IL · Remote

This is a fully remote, flexible contract role. No AI background needed - just deep mastery of ... PhD completed or near-completion in Applied Physics, Physics, Engineering Physics, or a closely ...

Alignerr

Precision Medicine Data Lead

Chicago, IL · Remote

Remote * Commitment : 10-40 hours/week What You'll Do * Design, oversee, and optimize data ... Comfortable working cross-functionally with clinical, research, and engineering teams in regulated ...

Apex Systems

AI Integration Developer

Lemont, IL · On-site +1

$50 - $80/hr

... datasets for computational analysis using approved LLMs. The position focuses on automation ... Strong understanding of AI, LLMs, and prompt engineering. * Proficiency in Python scripting for ...

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Remote Computational Engineering information

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

To thrive as a Remote Computational Engineer, you need strong analytical and mathematical abilities, proficiency in computational modeling, and a degree in engineering, mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or C++), high-performance computing systems, and relevant simulation software is typically required. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in a remote environment. These skills ensure that you can develop accurate models, contribute to complex projects, and maintain productivity while working independently.

How does a remote computational engineer typically collaborate with team members on complex projects?

Remote computational engineers often use collaborative software tools, such as version control systems, cloud-based simulation platforms, and video conferencing, to stay connected with their teams. They regularly participate in virtual meetings, share project updates, and review code or modeling results together. Despite working remotely, strong communication skills are essential to coordinate with multidisciplinary teams, address technical challenges, and ensure alignment on project goals and deadlines.

What is remote computational engineering?

Remote computational engineering involves using computer-based simulations and modeling tools to solve engineering problems from a remote location, rather than working onsite. Professionals in this field apply advanced mathematics, physics, and programming to design, analyze, and optimize systems or products. They often collaborate with teams virtually and use software to perform tasks such as finite element analysis (FEA), computational fluid dynamics (CFD), or algorithm development. This role enables flexibility in work location while contributing to innovative engineering projects across various industries.

What is the difference between Remote Computational Engineering vs Remote Data Scientist?

AspectRemote Computational EngineeringRemote Data Scientist
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; programming skillsBachelor's or higher in statistics, computer science, or related fields; programming and statistical skills
Work EnvironmentCollaborative engineering teams, simulation labs, software developmentData analysis teams, research environments, analytics platforms
Industry UsageEngineering firms, tech companies, manufacturing
Common Search IntentComparing roles in engineering and technical development

Remote Computational Engineering and Remote Data Scientist roles share a focus on programming and analytical skills, often requiring similar educational backgrounds. However, computational engineers typically work on simulations, modeling, and engineering solutions, while data scientists focus on analyzing data to derive insights. Both roles are prevalent in tech-driven industries and often involve remote collaboration, but their core functions differ in application and industry focus.

What are the most commonly searched types of Computational Engineering jobs in Illinois? The most popular types of Computational Engineering jobs in Illinois are:
What are popular job titles related to Remote Computational Engineering jobs in Illinois? For Remote Computational Engineering jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Computational Engineering jobs in Illinois look for? The top searched job categories for Remote Computational Engineering jobs in Illinois are:
What cities in Illinois are hiring for Remote Computational Engineering jobs? Cities in Illinois with the most Remote Computational Engineering job openings:
Remote Computational Engineering jobs near you

Mechanical Engineering

Alignerr

Chicago, IL • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Mechanical Engineering AI Trainer
About the Role
We're looking for mechanical engineers to help train and evaluate cutting-edge AI models being developed by the world's leading AI research labs. Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems - from fluid dynamics to structural mechanics.
This is a rare opportunity to step outside traditional engineering work and make a lasting impact on the future of artificial intelligence - all on your own schedule, from anywhere in the world.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
    • What You'll Do
    • Design Complex Engineering Problems
      - Craft advanced, domain-specific problems across areas like FEA, heat transfer, kinematics, fluid dynamics, thermodynamics, and material science to rigorously test AI reasoning and performance
    • Author Ground-Truth Solutions
      - Write precise, step-by-step technical solutions that serve as benchmarks for AI learning, ensuring accuracy and adherence to engineering standards (ASME, ISO, etc.)
    • Audit AI-Generated Outputs
      - Evaluate AI-produced CAD logic, thermodynamic proofs, and material specifications for technical correctness, physical plausibility, and safety
    • Refine AI Reasoning
      - Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed material assumptions, and provide structured feedback to improve model performance
    • Work Independently
      - Manage your own workload asynchronously with full flexibility over your schedule
      • Who You Are
      • Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
      • Strong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
      • Able to communicate complex technical concepts clearly and precisely in written form
      • Highly detail-oriented - comfortable verifying mathematical derivations, unit conversions, and physical system constraints
      • Self-motivated and reliable when working independently
      • No prior AI experience required
      Nice to Have
      • Experience with data annotation, data quality evaluation, or technical review workflows
      • Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS
      • Familiarity with engineering simulation, FEA, or computational fluid dynamics workflows
      Why Join Us
      • Work on genuinely cutting-edge AI projects alongside top research labs
      • Fully remote and flexible - work when and where you want
      • Gain rare, first-hand exposure to how advanced large language models (LLMs) are trained and evaluated
      • Freelance autonomy: no meetings, no commute, no micromanagement
      • Collaborate with a global team of technical experts
      • Potential for ongoing work and contract extension

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