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Remote Generative Ai Project Manager Jobs in Chicago, IL

Canonical

Enterprise Project Manager

Chicago, IL · Remote

This is a Globally remote role. The role entails * Ensuring programs and projects are delivered ... AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set ...

Saturn Machine Works

Project Manager

Chicago, IL · Remote

$40K - $45K/yr

As a Project Manager, you will work full-time in a remote capacity, overseeing and coordinating various projects to ensure successful delivery within scope, budget, and timeline. If you are a detail ...

Applied Systems, Inc.

Sr. Project Manager

Chicago, IL · On-site +1

$100K - $130K/yr

Remote - Chicago, Dallas, Atlanta, or Lincoln (Nebraska) This role is aligned to our hub locations ... Our cloud software and AI-powered solutions reach thousands of agencies and brokers worldwide ...

Applied Systems, Inc.

Sr. Project Manager

Chicago, IL · On-site +1

$100K - $130K/yr

Remote - Chicago, Dallas, Atlanta, or Lincoln (Nebraska) This role is aligned to our hub locations ... Our cloud software and AI-powered solutions reach thousands of agencies and brokers worldwide ...

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Remote Generative Ai Project Manager information

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How much do remote generative ai project manager jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote generative ai project manager in Chicago, IL is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $44.33 and $65.38 per hour, depending on experience, location, and employer.

How does a remote generative AI project manager typically collaborate with cross-functional teams to ensure project success?

Remote Generative AI Project Managers frequently coordinate with data scientists, engineers, product managers, and stakeholders across different locations and time zones. They use a combination of virtual collaboration tools, regular video meetings, and project management platforms to track progress, clarify requirements, and address challenges as they arise. Effective communication and proactive status updates are essential to aligning team efforts, managing expectations, and ensuring timely delivery of AI-driven solutions. Establishing clear workflows and fostering a culture of transparency help maintain momentum and drive successful outcomes, even in a fully remote environment.

What are the key skills and qualifications needed to thrive as a remote generative AI project manager, and why are they important?

To thrive as a Remote Generative AI Project Manager, you need expertise in project management methodologies, a solid understanding of AI concepts, and a relevant degree or certification such as PMP or Agile. Familiarity with AI development tools, collaboration platforms like Jira or Asana, and cloud-based environments is typically required. Outstanding communication, problem-solving abilities, and the capacity to lead cross-functional remote teams are essential soft skills. These competencies ensure effective coordination, timely delivery of AI projects, and seamless collaboration in a remote work environment.

What is a remote generative AI project manager?

Remote Generative AI Project Managers are professionals who oversee projects involving the development and implementation of generative artificial intelligence technologies, such as AI that creates text, images, or other content. They coordinate teams, manage timelines and budgets, and ensure project goals are met—all while working remotely. These managers often act as a bridge between technical teams and stakeholders, making sure projects align with business objectives. Their role requires a blend of project management skills, understanding of AI concepts, and the ability to work effectively in virtual environments.
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Remote Generative Ai Project Manager 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 17 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