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Remote Generative Ai Engineer Jobs in Chicago, IL

Lead AI Factory Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... generative AI, intelligent workflows, and advanced analytics. * Identify and remove delivery ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Lead AI Factory Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... generative AI, intelligent workflows, and advanced analytics. * Identify and remove delivery ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Lead AI Factory Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... generative AI, intelligent workflows, and advanced analytics. * Identify and remove delivery ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Showing results 21-40

Remote Generative Ai Engineer information

See Chicago, IL salary details

$39.1K

$119.4K

$197.3K

How much do remote generative ai engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote generative ai engineer in Chicago, IL is $119,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $156,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.

What are the most commonly searched types of Generative Ai Engineer jobs in Chicago, IL?

The most popular types of Generative Ai Engineer jobs in Chicago, IL are:

What are popular job titles related to Remote Generative Ai Engineer jobs in Chicago, IL?

For Remote Generative Ai Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Engineer jobs in Chicago, IL look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Generative Ai Engineer jobs?

Cities near Chicago, IL with the most Remote Generative Ai Engineer job openings:

Infographic showing various Remote Generative Ai Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $119,357 per year, or $57.4 per hour.

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.