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Generative Ai Testing Jobs in Illinois (NOW HIRING)

... 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 ...

... 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 ...

... generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago ... Early‑detection cancer testing through Galleri * Flexible spending account and dependent FSA ...

Senior AI Engineer

Chicago, IL · On-site

$180K - $220K/yr

... our generative AI document assistant, as well as document classification, extraction, and LLM ... testing built in * Applying modern engineering practices for production AI systems, including ...

Senior AI Engineer

Chicago, IL · On-site

$180K - $220K/yr

... our generative AI document assistant, as well as document classification, extraction, and LLM ... testing built in * Applying modern engineering practices for production AI systems, including ...

Showing results 21-40

Generative Ai Testing information

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 are popular job titles related to Generative Ai Testing jobs in Illinois?

For Generative Ai Testing jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Generative Ai Testing jobs in Illinois look for?

The top searched job categories for Generative Ai Testing jobs in Illinois are:

What cities in Illinois are hiring for Generative Ai Testing jobs?

Cities in Illinois with the most Generative Ai Testing job openings:

Infographic showing various Generative Ai Testing job openings in Illinois as of August 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Lead AI & Technology Risk Auditor

Allstate Insurance

Chicago, IL • On-site

Other

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


Key responsibilities

  • Lead complex audits in high-risk or emerging technology domains, focusing on artificial intelligence, generative AI, and data-driven systems.

  • Manage the creation and execution of audit programs, including drafting testing plans, performing walkthroughs, and executing testing procedures for complex processes.

  • Apply data analytics and AI-assisted audit techniques to evaluate evidence, identify root causes, assess risk levels, and recommend control enhancements or process improvements.


Allstate Insurance rating

7.4

Company rating: 7.4 out of 10

Based on 571 frontline employees who took The Breakroom Quiz

235th of 315 rated insurance


Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

The Lead AI & Technology Risk Auditor is a senior-level audit professional and subject matter expert who leads complex audits in high-risk or emerging technology domains, with a particular focus on artificial intelligence, generative AI, and data-driven systems. This role designs tailored audit methodologies, engages with senior leaders to understand risk exposure, and drives innovation through the use of AI, data science, and automation.
Specialists serve as key contributors to audit transformation, creating scalable frameworks for auditing new technologies such as cloud-native platforms, machine learning systems, generative AI and large language models, agentic AI, and AI-enabled decision-making platforms. They evaluate AI governance, responsible AI practices, and emerging AI risks to ensure Allstate's AI adoption is secure, ethical, and well-controlled. They influence audit strategy, develop team capabilities, and act as technical mentors, ensuring the audit function remains future-ready and delivers meaningful value to Allstate.
This role requires a strategic thinker who can develop internal and leverage external networks, apply sound judgment, and deliver high-quality audit results. The Lead AI & Technology Risk Auditor takes personal accountability to ensure audits are performed with proficiency and plays a vital role in developing future audit leaders by providing coaching, guidance, and effective delegation. How You'll Make an Impact / Key Responsibilities
  • Independently lead complex, agile technology and business audits with objectivity, applying advanced project management skills to guide scrum teams, manage timelines, identify blockers, and ensure timely resolution of audit issues. Demonstrate excellence in agile sprint execution by managing test progress, updating documentation status, and flagging blockers.
  • Manage the creation and execution of audit programs, including drafting testing plans and acceptance criteria, performing walkthroughs, identifying controls, and executing testing procedures for complex processes with limited guidance.
  • Apply critical thinking data analytics, and AI-assisted audit techniques to evaluate evidence, identify root causes, assess risk levels, and recommend control enhancements or process improvements. Leverage tools such as Python, SQL, or visualization platforms to perform full-population testing, anomaly detection, and pattern analysis where appropriate.
  • Communicate effectively with audit clients through (1) sprint reviews that communicate early observations, refine direction, and align with stakeholder priorities and (2) audit reports that clearly communicate findings, risks, and actions.
  • Build and maintain strong, trust-based relationships with IT and business leaders, and actively support Internal Audit's relationship management efforts across the enterprise.
  • Provide coaching and feedback to audit team members, supporting their development in areas such as control identification, test execution, documentation, AI literacy, data analytics adoption, and strategic thinking.
  • Demonstrate strong business acumen by applying knowledge of Allstate's insurance and non-insurance operations, control environment, and interdepartmental dynamics to audit execution and insights.
  • Assess controls over the development, deployment, and monitoring of generative AI and large language model (LLM)-based applications, including prompt engineering safeguards, output validation, hallucination risk, data privacy in training sets, and third-party AI service provider oversight.
  • Support department initiatives (process improvement, change leadership, functional expertise) and advance AI, automation, and analytics (e.g., continuous monitoring, document review, predictive risk scoring) to improve audit quality, coverage, and efficiency.
  • Stay current on evolving AI regulatory requirements, industry standards, and risk frameworks (e.g., NIST AI Risk Management Framework, IEEE AI ethics standards, and applicable state/federal AI legislation) and incorporate them into audit planning and testing.
About YouExperience
  • 5 or more years of experience
  • 1 or more years of experience auditing, implementing, or assessing AI/ML systems, data governance frameworks, or advanced analytics platforms (Preferred)
Supervisory Responsibilities
  • This job does not have supervisory duties.
Certifications
  • Core certifications (CPA, CA, CISA, CIA, or CFE) are required for all new Lead Consultant and above roles, and must be obtained within 18 months if not already held.
  • AI or data-related certifications are a plus (e.g., ISACA Certificate in AI Fundamentals, ISACA Advanced in AI Audit [AAIA], AWS/Azure AI certifications, or relevant data science credentials).
Preferred Skills & Knowledge
  • Familiarity with AI/ML concepts including supervised/unsupervised learning, neural networks, natural language processing, and generative AI architectures
  • Working knowledge of Python, SQL, or similar tools for data extraction, analysis, and visualization
  • Familiarity with or high interest in AI governance principles, including fairness, accountability, transparency, explainability, and data privacy
  • Awareness of AI/ML platforms (e.g., Azure ML Studio, Azure AI Foundry, AWS Bedrock, AWS SageMaker, GCP BigQuery, GCP Vertex AI, Open AI and other LLM foundational models, M365 Copilot Studio)
Travel Requirements
  • Minimal travel required (approximately 15%).

Skills

Advanced Analytics, Agentic AI, Analytics, Artificial Intelligence (AI), Audit Execution, Data Analytics

Compensation

Compensation offered for this role is $98,100 - $150,500 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.


For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the "EEO Know Your Rights" poster click "here". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click "here". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.


What Allstate Insurance employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Allstate Insurance logo

About Allstate Insurance

Sourced by ZipRecruiter

We're a purpose-driven company powered by purpose-driven people. We're reinventing protection and transforming the company for our customers, communities and each other. You could play a role in our transformation. Join a 90-year-old, Fortune 100 insurance company as we challenge the status quo, champion inclusion and strengthen our communities. If being a part of that future gives you goosebumps, you've come to the right place. Reinventing the future of protection means rethinking how we work together. From marketing to claims, our employees have flexibility in how, when and where they work — whether at home, the office or both. We're creating an inclusive, diverse and equitable workplace. We encourage collaboration, support taking chances and foster a strong sense of community. Let's build a new kind of Allstate together.

Industry

Insurance services, real estate, finance and insurance and insurance agencies and brokerages

Company size

10,000+ Employees

Headquarters location

Northbrook, IL, US