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Generative Ai Testing Jobs in Chicago, IL (NOW HIRING)

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

Essential Functions: * Assist in the design, development, testing, and deployment of AI-powered applications for enterprise use cases, including Generative AI solutions. * Assist in implementing LLM ...

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 ... Early-detection cancer testing through Galleri * Flexible spending account and dependent FSA ...

James Hardie

Sr AI Solution Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and ... Establish and follow best practices for model deployment, versioning, testing, and observability.

James Hardie

Sr AI Solution Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and ... Establish and follow best practices for model deployment, versioning, testing, and observability.

James Hardie

Sr AI Solution Engineer

Chicago, IL · On-site

$57 - $73.50/hr

Design and implement solutions leveraging Generative AI (LLMs, text generation, RAG pipelines) and ... Establish and follow best practices for model deployment, versioning, testing, and observability.

Kirkland & Ellis LLP.

AI Innovation Advisor

Chicago, IL · On-site

... generative AI capabilities, limitations, and firm governance requirements. • Coordinate tasks, timelines, and stakeholders for AI workflow development initiatives. Workflow Development & Testing ...

Writer

Solutions architect (Central)

Chicago, IL · On-site

$164K - $245K/yr

Architect and design robust, scalable, and secure generative AI solutions for enterprise clients ... Early-detection cancer testing through Galleri * Flexible spending account and dependent FSA ...

Reply

AI/ML Engineer (AWS)

Chicago, IL · On-site

$120K - $155K/yr

... and Generative AI capabilities. * Create, evaluate, and deploy machine learning solutions, including applications powered by large language models. * Establish and maintain datasets, testing ...

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Generative Ai Testing information

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$55

$78

How much do generative ai testing jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for generative ai testing in Chicago, IL is $55.35, according to ZipRecruiter salary data. Most workers in this role earn between $45.58 and $63.41 per hour, depending on experience, location, and employer.

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

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How much do AI testers get paid?

AI testers, involved in evaluating and validating generative AI models, typically earn salaries ranging from $60,000 to $120,000 annually depending on experience, location, and company size. Entry-level positions may start lower, while experienced testers with specialized skills in machine learning and data analysis can earn higher wages.

Is AI testing a good career?

AI testing, including roles like Generative AI Testing, is a growing field with increasing demand for skills in machine learning, data analysis, and programming. It offers opportunities in tech companies, research labs, and startups, often requiring knowledge of AI frameworks and testing tools. The career can be stable and rewarding for those with technical expertise and an interest in AI development and quality assurance.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These roles usually involve leading AI development projects, strategic planning, and overseeing AI teams in large organizations or tech companies.

How do I become an AI tester?

To become an AI tester, you should have a strong understanding of machine learning concepts, programming skills in languages like Python, and experience with data annotation and model evaluation. Familiarity with AI development tools and testing frameworks, along with attention to detail, is essential for identifying issues in AI systems.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Chicago, IL? For Generative Ai Testing jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Chicago, IL look for? The top searched job categories for Generative Ai Testing jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Generative Ai Testing jobs? Cities near Chicago, IL with the most Generative Ai Testing job openings:
Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Chicago, IL as of June 2026, with employment types broken down into 10% Internship, 73% Full Time, 12% Part Time, and 5% Temporary. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $115,119 per year, or $55.3 per hour.
AI Intern

AI Intern

Hendrickson USA, LLC

Woodridge, IL • On-site

Full-time

Posted 8 days ago

Hendrickson rating

7.5

Company rating: 7.5 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

207th of 418 rated machine equipment manufacturers

Job description

Position Purpose:
The Artificial Intelligence (AI) IT Intern assists with the design, development, and deployment of enterprise-grade artificial intelligence solutions, with a focus on Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development, cloud deployment, and enterprise data integration.
Essential Functions:
  • Assist in the design, development, testing, and deployment of AI-powered applications for enterprise use cases, including Generative AI solutions.
  • Assist in implementing LLM-based and agentic AI workflows using LangChain, LangGraph, and/or related design patterns.
  • Assist in developing, optimizing, and maintaining Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, parsing, extraction, indexing, and retrieval.
  • Co-build and co-maintain backend APIs and services using.
  • Learn to integrate AI applications with enterprise data platforms and systems, including Cosmos Database, structured query language (SQL) server, and internal applications.
  • Contribute to prompt engineering, evaluation, and response-quality improvement initiatives.
  • Help support cloud deployment, monitoring, and performance optimization of AI applications in Azure environments.
  • Participate in continuous integration (CI)/continuous delivery (CD) pipelines, version control, and release processes using Azure DevOps.
  • Collaborate with cross-functional teams to troubleshoot issues, improve performance, and enhance system scalability.
  • Document architectures, workflows, technical decisions, and implementation details to support maintainability and knowledge sharing.
  • Follow established security, compliance, and development standards and apply emerging AI and software engineering best practices.
  • Other duties as assigned.

Education and Training
  • Must be a current enrolled student or recent graduate in a computer science, AI, IT, or related technical program.
  • Must have a minimum grade point average (GPA) of 3.0 on a 4.0 scale.
  • Coursework or hands-on experience in software development or programming is essential.

Minimum Qualifications
  • Strong interest in applied AI and software development within an enterprise environment is necessary.
  • Strong foundation in Python programming, gained through coursework, projects, internships, and/or self-study is essential.
  • Basic understanding of backend development and APIs, including how services communicate, and exchange data is required.
  • Foundational knowledge of Generative AI concepts, including large language models (LLMs) and prompt engineering is crucial.
  • Exposure to databases, including relational databases and/or NoSQL databases is necessary.
  • Interest in cloud-native development and AI system deployment, preferably within Microsoft Azure or a comparable platform is required.
  • Basic exposure to development workflows, such as version control and CI/CD concepts is essential.
  • Strong analytical, communication, and problem-solving skills, with the ability to collaborate effectively in a team environment is required.
  • Demonstrated willingness to learn and adapt to new technologies and best practices are necessary.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.

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