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Machine Learning Testing Jobs in Illinois (NOW HIRING)

TSMG

AI/ML Data Contributor

Chicago, IL · On-site

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

TSMG

AI/ML Data Contributor

Chicago, IL

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

Caterpillar

Data Science/Analyst

Chicago, IL · On-site

You'll work with machine learning, Generative AI, IoT data, and advanced analytics while partnering ... This involves testing, research, and analysis of cellular, satellite, Wi-Fi, Bluetooth, and other ...

New

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

... build machine learning models while collaborating with various teams and stakeholders ... testing datasets • Analyze raw datasets using descriptive statistics, working directly with ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site

$85 - $100/hr

... Machine Learning, and Operations Research models that transform business objectives into data ... Conduct testing and validation of models to ensure robustness, scalability, and reliability in ...

Addison Group

Sr. Data Scientist

Chicago, IL · On-site +1

$85 - $100/hr

... Machine Learning, and Operations Research models that transform business objectives into data ... Conduct testing and validation of models to ensure robustness, scalability, and reliability in ...

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Machine Learning Testing information

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How much do machine learning testing jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for machine learning testing in Illinois is $22.11, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $24.71 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Testing position, and why are they important?

To excel in Machine Learning Testing, you need a solid understanding of machine learning concepts, data analysis, and programming skills in languages like Python, as well as a background in quality assurance or software testing. Familiarity with frameworks such as TensorFlow, PyTorch, automated testing tools, and relevant certifications like ISTQB are highly beneficial. Strong attention to detail, analytical thinking, and effective communication skills help testers identify issues and collaborate with data scientists and developers. These competencies are essential to ensure the reliability, fairness, and accuracy of machine learning models deployed in production environments.

What are the typical challenges faced by professionals in Machine Learning Testing roles?

Professionals in Machine Learning Testing often encounter challenges such as dealing with non-deterministic model outputs, insufficient or imbalanced datasets, and unclear or evolving testing criteria. They may need to work closely with data scientists and engineers to develop robust test cases and validation methods tailored for dynamic machine learning systems. Staying updated on advancements in testing methodologies and tools is also important, as the field evolves rapidly. Successfully overcoming these challenges leads to higher quality models and more reliable AI solutions for end users.

What is a Machine Learning Testing job?

A Machine Learning Testing job involves evaluating and validating machine learning models to ensure they function correctly, efficiently, and ethically. This includes testing for accuracy, reliability, bias, and performance under different conditions. Professionals in this role employ techniques such as unit testing, integration testing, data validation, and model performance monitoring. They also work closely with data scientists and engineers to debug issues and improve model robustness. The goal is to ensure that machine learning systems perform as expected and meet business or regulatory requirements.

What are the most commonly searched types of Machine Learning Testing jobs in Illinois? The most popular types of Machine Learning Testing jobs in Illinois are:
What are popular job titles related to Machine Learning Testing jobs in Illinois? For Machine Learning Testing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Testing jobs in Illinois look for? The top searched job categories for Machine Learning Testing jobs in Illinois are:
Machine Learning Testing jobs near you
Infographic showing various Machine Learning Testing job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $45,998 per year, or $22.1 per hour.

AI/ML Data Contributor

TSMG

Chicago, IL • On-site

Part-time

Re-posted 13 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.