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Assistant Remote Machine Learning Engineer Jobs in Romeoville, IL

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Assistant Remote Machine Learning Engineer information

See Romeoville, IL salary details

$33.6K

$90.5K

$137.1K

How much do assistant remote machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for assistant remote machine learning engineer in Romeoville, IL is $90,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $106,500.00 per year, depending on experience, location, and employer.

What cities near Romeoville, IL are hiring for Assistant Remote Machine Learning Engineer jobs?

Cities near Romeoville, IL with the most Assistant Remote Machine Learning Engineer job openings:

Assistant Remote Machine Learning Engineer jobs near you

Copy of Senior Structural Engineer (OpenSees | AI Training & Evaluation)

Lifted, an Upwork Company™

Chicago, IL • On-site, Remote

$80 - $110/hr

Contractor

Posted 23 days ago

Job description

Company Description

An enterprise client is seeking experienced Structural Engineers to help train and evaluate next-generation AI systems. This opportunity is part of a large-scale initiative focused on improving how AI models solve complex structural engineering problems and generate technically accurate engineering solutions.

You will work alongside a community of subject matter experts contributing real-world engineering knowledge to help shape the future of Generative AI.

    Job Description

    This opportunity is ideal for experienced Structural Engineers who enjoy solving complex engineering problems and want to apply their expertise to cutting-edge AI technology.

    What You'll Do:

    • Design realistic AI training tasks based on structural engineering concepts and real-world design challenges.
    • Create clear engineering problem statements covering structural analysis, design, simulation, and code compliance.
    • Develop reference solutions and deterministic scoring criteria to evaluate AI-generated responses.
    • Build engineering tasks using OpenSees and other structural engineering methodologies.
    • Create evaluation scenarios involving topics such as:
      • Pushover analysis
      • Seismic design
      • Finite Element Analysis (FEA)
      • Reinforced concrete design
      • Steel connection detailing
      • Structural retrofit
    • Review AI-generated engineering solutions for technical accuracy, engineering judgment, and compliance with applicable design codes.
    • Provide structured feedback that helps improve AI performance in structural engineering.
    • Work independently in a fully remote, flexible environment.
    Qualifications

    Requirements:

    • Bachelor's degree in Civil Engineering, Structural Engineering, or a closely related field (Master's or PhD is a plus).
    • Professional experience in structural analysis and structural design.
    • Hands-on experience using OpenSees.
    • Strong understanding of structural design standards such as ACI 318, AISC 360, or Eurocode (EN 1992, EN 1993, EN 1998).
    • Experience with structural engineering concepts including nonlinear modeling, response spectrum analysis, pushover analysis, or performance-based design.
    • Ability to write clear, detailed, and technically accurate engineering documentation.
    • Strong analytical thinking and attention to detail.
    • Excellent written English communication skills.
    • Ability to work independently and manage your own schedule.

    Nice to Haves:

    • Master's degree or PhD in Structural Engineering or a related discipline.
    • Experience with advanced seismic engineering or structural retrofit projects.
    • Experience with finite element modeling and structural simulation.
    • Previous experience reviewing technical work, conducting research, or developing engineering assessments.
    • Interest or experience in AI, machine learning, or engineering model evaluation.
    Additional Information
    • Fully remote, project-based opportunity.
    • Flexible schedule - work whenever it fits your availability.
    • Compensation ranges from $80-110 USD per hour, depending on experience.
    • Expected workload is 10-39 hours per week, though project volume may fluctuate.
    • Payments are issued weekly for work completed during the previous week.
    • If selected, you will receive an Upwork contract offer along with onboarding instructions for the client's task platform.

    Apply