1

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

Senior AI Engineer

Chicago, IL · On-site

$126K - $166K/yr

... testing, monitoring, governance, and responsible AI practices, partnering with Data Engineering to ensure trusted data foundations. * Stay current with advancements in Generative AI, Agentic AI, and ...

... LLMs, generative AI, and traditional ML with enterprise platforms * Manage AI projects including architecture design, model development, integration, and testing, and ensure projects follow best ...

... LLMs, generative AI, and traditional ML with enterprise platforms * Manage AI projects including architecture design, model development, integration, and testing, and ensure projects follow best ...

DExperience with Microsoft Copilot, Generative AI solutions, AI-powered workflow automation, Large ... testing (UAT), troubleshooting, data validation, and deployment of new system capabilitie ...

Senior AI Product Associate, IT

Chicago, IL · On-site +1

$104K - $160K/yr

Familiarity with generative-AI tools and platforms, including hands-on prompting and testing of AI APIs. * Ability to quickly learn new domains and translate complex workflows into product ...

... testing and integrate them in the core product without writing any code. * LLM Fine Tuning : Lead ... Experience leveraging AI Copilot or similar generative AI coding tools for accelerated development ...

Showing results 41-60

Generative Ai Testing information

See Lisle, IL salary details

$31

$52

$75

How much do generative ai testing jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for generative ai testing in Lisle, IL is $52.98, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $60.67 per hour, depending on experience, location, and employer.

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 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 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 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 do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Relevant certifications and hands-on projects can enhance your qualifications for roles in AI testing environments.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development, focusing on evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, often involving tools like Python and TensorFlow. The role offers opportunities in tech companies and research labs, with demand expected to increase as AI applications expand.

What cities near Lisle, IL are hiring for Generative Ai Testing jobs?

Cities near Lisle, IL with the most Generative Ai Testing job openings:

Infographic showing various Generative Ai Testing job openings in Lisle, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,200 per year, or $53 per hour.

Senior AI Engineer

Expedia

Chicago, IL • On-site

$126K - $166K/yr

Full-time

Medical, Dental, Vision, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Expedia Group rating

6.9

Company rating: 6.9 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

8th of 11 rated travel agencies


Job description

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.


Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Senior AI Engineer

Introduction to the Team

Expedia Group B2B empowers partners to deliver exceptional traveler and B2B experiences, driving growth for both our partners and the Expedia Group marketplace. We achieve this through competitive supply, a trusted advertising and travel media network, and effective affiliate solutions.

As a member of the B2B Supply Marketing Digital Operations Data team, you will drive strategic AI initiatives and intelligent automation efforts that power insights, personalized experiences, and next-generation marketing capabilities for our partners. This role sits within the Marketing Technology & Digital Operations Engineering organization and is responsible for identifying, building, and scaling AI-powered solutions that improve productivity, automate workflows, unlock insights, and transform how marketing teams work. The ideal candidate combines strong technical expertise with curiosity, experimentation, and a deep understanding of how AI can fundamentally change business processes.

In this role, you will:

  • Own and drive the AI Engineering roadmap for Digital Operations, ensuring alignment with business objectives, customer needs, and organizational priorities.

  • Lead end-to-end delivery of AI products and solutions - from ideation, business case development, and prototyping through production deployment, adoption, and continuous optimization.

  • Design, develop, and deploy AI-enabled applications, copilots, intelligent agents, and workflow automation solutions that improve campaign execution, content creation, reporting, and operational workflows.

  • Integrate LLMs, enterprise data platforms, APIs, and marketing technologies to create end-to-end AI experiences, including retrieval-augmented generation (RAG) applications and intelligent knowledge assistants.

  • Partner with leaders across Marketing Operations, Web, Paid Media, CRM, Analytics, and Data Engineering to identify opportunities where AI can fundamentally transform workflows and decision-making.

  • Build AI solutions that combine business, operational, and marketing data to generate actionable insights and move teams from reactive reporting toward proactive recommendations and automation.

  • Develop reusable frameworks, playbooks, and accelerators that enable rapid experimentation and scaling of AI capabilities across Digital Operations and Marketing teams.

  • Lead pilots and proof-of-concepts that demonstrate measurable business impact, and drive adoption of AI-first operating models through best practices and governance frameworks.

  • Establish standards for AI development, testing, monitoring, governance, and responsible AI practices, partnering with Data Engineering to ensure trusted data foundations.

  • Stay current with advancements in Generative AI, Agentic AI, and intelligent automation, contributing to the long-term AI roadmap for Marketing Technology and Digital Operations.

Experience and Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field; or equivalent related professional experience

  • 8+ years of software engineering, data engineering, or platform engineering experience

  • 3+ years of experience building AI, Generative AI, LLM, automation, or intelligent workflow solutions

  • Proficiency in Python and modern software engineering practices

  • Strong experience with AI frameworks and platforms such as OpenAI, Anthropic, LangChain, LangGraph, CrewAI, AWS Bedrock, Vertex AI, or similar technologies

  • Proficiency with MLOps tools and platforms including AWS SageMaker, Bedrock, MLflow, Weights & Biases, or Databricks

  • Strong knowledge of cloud platforms (AWS preferred) with experience deploying scalable AI services, APIs, and microservices

  • Proven track record of operationalizing AI/ML models in production environments with monitoring, observability, and performance optimization

  • Experience integrating AI solutions with enterprise applications, APIs, cloud platforms, and data ecosystems

  • Proficient communication skills with the ability to work both collaboratively and autonomously across technical and non-technical teams

Preferred:

  • Experience in marketing technology, including familiarity with CRM systems, marketing automation platforms, or personalization engines

  • Familiarity with Salesforce, Adobe Experience Cloud, Marketo, Braze, or similar MarTech ecosystems

  • Experience building enterprise AI copilots, assistants, or agent-based automation solutions

  • Knowledge of AI governance, responsible AI practices, and enterprise AI adoption strategies

  • Experience leading AI transformation initiatives with measurable business outcomes

#LI-AD1

The total cash range for this position in Austin is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Chicago is $171,500.00 to $240,000.00. Employees in this role have the potential to increase their pay up to $274,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.


Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.


Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.


About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.


Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.


Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

What Expedia Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom