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Generative Ai Training Jobs in Addison, IL (NOW HIRING)

Deloitte

Lead Generative AI Data Engineer III

Chicago, IL · On-site

$105K - $139K/yr

Develop and oversee data pipelines, model training workflows, and production-grade application ... Our AI & Data offering provides a full spectrum of solutions for designing, developing, and ...

Northern Trust

SVP AI Enterprise Architect

Chicago, IL · On-site

$137K - $240K/yr

Deep experience with generative AI, machine learning, and enterprise-grade AI/ML systems in ... Model training or fine tuning experience * Holds an Advanced cloud certification in Azure

Northern Trust

SVP AI Enterprise Architect

Chicago, IL · On-site

$137K - $240K/yr

Deep experience with generative AI, machine learning, and enterprise-grade AI/ML systems in ... Model training or fine tuning experience * Holds an Advanced cloud certification in Azure

Northern Trust

SVP AI Enterprise Architect

Chicago, IL · On-site

$137K - $240K/yr

Deep experience with generative AI, machine learning, and enterprisegrade AI/ML systems in ... Model training or fine tuning experience * Holds an Advanced cloud certification in Azure

Writer

AI deployment engineer (Central)

Chicago, IL · On-site

$131K - $166K/yr

... generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin ... Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development ...

WRITER

AI deployment engineer (Central)

Chicago, IL · On-site

$90 - $130/hr

... generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago ... Wellness stipend for gym, massage/chiropractor, personal training, etc. * Learning and development ...

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All JobsGenerative Ai Training JobsGenerative Ai Training Jobs in Addison, IL

Generative Ai Training information

See Addison, IL salary details

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How much do generative ai training jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for generative ai training in Addison, IL is $29.11, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $36.11 per hour, depending on experience, location, and employer.

What is generative AI training?

Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.

What are the key skills and qualifications needed to thrive in generative AI training?

To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.

What are some common challenges faced by professionals working in generative AI training roles?

Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.

What is the difference between Generative Ai Training vs Data Scientist?

AspectGenerative Ai TrainingData Scientist
Required CredentialsKnowledge of AI models, programming, machine learningStatistics, programming, data analysis
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, tech firms, research institutions
Industry UsageDeveloping generative models like GPT, DALL·EData analysis, predictive modeling, insights generation

Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.

What job categories do people searching Generative Ai Training jobs in Addison, IL look for?

The top searched job categories for Generative Ai Training jobs in Addison, IL are:

What cities near Addison, IL are hiring for Generative Ai Training jobs?

Cities near Addison, IL with the most Generative Ai Training job openings:

Generative Ai Training 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

Re-posted 13 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