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Temporary Machine Learning Testing Jobs in Chicago, IL

Crate and Barrel

AI/ ML Engineer

Northbrook, IL · On-site

$80 - $120/hr

We are looking for an AI / Machine Learning Engineer with 2-5 years of experience to play a ... Design and conduct rigorous A/B testing and validation experiments to measure model performance and ...

New

Cccis

AI Enablement Intern

Chicago, IL · On-site

$20 - $43/hr

  • Medical

  • Retirement

  • PTO

... Scientists and Machine Learning engineers. Our goal is to understand and utilize the ... testing and release. - Design Dashboards and User Interfaces for our latest tools and models ...

Whiztek Corp

Gen AI Engineer (W2)

Schaumburg, IL · On-site

Role: Agentic AI/AI Engineer - Generative AI & Machine Learning Location:  Schaumburg, IL ... Familiar with functional and non-functional testing of AI/ML applications and operationalizing it ...

Whiztek Corp

AI Engineer

Schaumburg, IL · On-site

Role: Agentic AI/AI Engineer - Generative AI & Machine Learning Location: Schaumburg, IL (Hybrid ... Familiar with functional and non-functional testing of AI/ML applications and operationalizing it ...

AAR Corp

Data Scientist

Wood Dale, IL · On-site

$115 - $130/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong foundation in statistics, machine learning, and predictive modeling, including regression, classification, clustering, time series, and experiment design e.g., AB testing. * Proficiency in ...

AAR Corporation

Data Scientist

Wood Dale, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong foundation in statistics, machine learning, and predictive modeling, including regression, classification, clustering, time series, and experiment design e.g., AB testing. * Proficiency in ...

AAR Corporation

Data Scientist

Wood Dale, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong foundation in statistics, machine learning, and predictive modeling, including regression, classification, clustering, time series, and experiment design e.g., AB testing. * Proficiency in ...

AAR

Data Scientist

Wood Dale, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong foundation in statistics, machine learning, and predictive modeling, including regression, classification, clustering, time series, and experiment design e.g., AB testing. * Proficiency in ...

AAR

Data Scientist

Wood Dale, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong foundation in statistics, machine learning, and predictive modeling, including regression, classification, clustering, time series, and experiment design e.g., AB testing. * Proficiency in ...

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All JobsMachine Learning Testing JobsTemporary Machine Learning Testing JobsTemporary Machine Learning Testing Jobs in Chicago, IL

Temporary Machine Learning Testing information

See Chicago, IL salary details

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How much do temporary machine learning testing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for temporary machine learning testing in Chicago, IL is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $26.25 per hour, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning Testing vs Data Scientist?

AspectTemporary Machine Learning TestingData Scientist
CredentialsTypically requires knowledge of machine learning tools, programming, and basic statisticsRequires advanced degrees (e.g., Master’s or PhD) in data science, statistics, or related fields
Work EnvironmentProject-based, often temporary roles focused on testing models and algorithmsLong-term, strategic roles involving data analysis, model development, and business insights
Industry UsageCommon in tech, finance, and research sectors for specific testing tasksWidely used across industries for data-driven decision making

Temporary Machine Learning Testing roles focus on evaluating and validating machine learning models in short-term projects, while Data Scientists develop, implement, and interpret complex data models for ongoing business strategies. Both roles require technical skills, but Data Scientists typically have higher educational credentials and broader responsibilities.

What are the most commonly searched types of Machine Learning Testing jobs in Chicago, IL?

The most popular types of Machine Learning Testing jobs in Chicago, IL are:

What are popular job titles related to Temporary Machine Learning Testing jobs in Chicago, IL?

For Temporary Machine Learning Testing jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Testing jobs in Chicago, IL look for?

The top searched job categories for Temporary Machine Learning Testing jobs in Chicago, IL are:

Temporary Machine Learning Testing jobs near you
Infographic showing various Temporary Machine Learning Testing job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,899 per year, or $23.5 per hour.

AI/ ML Engineer

Crate and Barrel

Northbrook, IL • On-site

$80 - $120/hr

Other

Posted yesterday

New

Job description

We are looking for an AI / Machine Learning Engineer with 2-5 years of experience to play a critical role in building and enhancing our production machine learning systems. You will be responsible for the day-to-day implementation of core models, developing efficient data pipelines, and ensuring the smooth operation of our AI services. This role is ideal for an engineer eager to solidify their production skills, learn MLOps best practices under senior guidance, and immediately contribute to impactful, user-facing features.

  • This position is fully remote
  • This role is an Individual Contributor position
A day in the life as an AI/ML Engineer
  • Write, implement, and test machine learning algorithms and models under the guidance of senior team members, focusing on defined project scopes.
  • Develop and maintain efficient data pipelines and scripts for cleaning, transforming, and augmenting large datasets necessary for model training and evaluation.
  • Assist in the iterative process of developing, managing, and validating new features to improve existing model performance.
  • Design and conduct rigorous A/B testing and validation experiments to measure model performance and impact before and after deployment.
  • Work within our existing MLOps frameworks (e.g., Docker, Kubernetes, MLflow) to help deploy and manage models in cloud production environments.
  • Quickly diagnose, debug, and resolve issues related to model performance, data pipelines, and production inference services.
  • Help set up and maintain model monitoring tools to track key production metrics, latency, and data/model drift.
  • Participate in agile ceremonies to contribute to effective sprint planning, transparent communication, and the successful delivery of sprint goals.
  • Work closely with product owners and other cross-functional team members to deeply understand user stories and deliver valuable solutions in alignment with sprint goals.
  • Contribute to the continuous improvement of development processes and tools through active participation in team retrospectives and feedback loops.
  • Write clean, maintainable, and well-documented code and contribute to the development and maintenance of internal knowledge bases and documentation repositories to facilitate information sharing and team learning.
  • Stay current with relevant technologies and industry trends.
What you’ll bring to the table
  • Proficiency in Python and fundamental familiarity with essential ML libraries (e.g., scikit-learn, PyTorch, TensorFlow).
  • Solid understanding of core machine learning concepts, statistical methods, and common algorithm families (e.g., regression, classification, clustering).
  • Experience with SQL and working with relational or NoSQL databases for data extraction and preparation.
  • Good grasp of software development principles, version control, and unit testing practices.
  • Basic experience or strong foundational knowledge of deploying applications or using services on a major cloud platform (AWS, Azure, or GCP).
  • Proven ability to analyze data, interpret model results, and clearly communicate findings.
  • Strong communication and collaboration skills, with the ability to effectively interact with cross-functional team members.
  • Ability to work independently on assigned tasks and contribute actively as a valued member of a self-organizing team.
We’d love to hear from you if you have…
  • 2+ years of experience in machine learning engineering, data science or a related role.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (or equivalent practical experience).
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