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Temporary Machine Learning Testing Jobs in Illinois

Temp Machine Operator (Ink Preparation Department) Location: Rockdale, IL (Apollo Colors) Shift ... Monitor product quality by visual inspection of the product and taking required samples and testing ...

AI/ ML Engineer

Northbrook, IL · On-site

$100 - $125/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 ...

Data Engineering Intern

Niles, IL · On-site

$60 - $80/hr

... cases in audio machine learning algorithms Work closely with the data science and software ... Experience with simulating and testing audio systems with mathematical modelling languages such as ...

Lead GenAI Engineer

Chicago, IL · On-site

$105K - $139K/yr

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

Showing results 41-60

Temporary Machine Learning Testing information

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 Illinois?

The most popular types of Machine Learning Testing jobs in Illinois are:

What job categories do people searching Temporary Machine Learning Testing jobs in Illinois look for?

The top searched job categories for Temporary Machine Learning Testing jobs in Illinois are:

What cities in Illinois are hiring for Temporary Machine Learning Testing jobs?

Cities in Illinois with the most Temporary Machine Learning Testing job openings:

Infographic showing various Temporary Machine Learning Testing job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Quantum Computing Lab Intern

Chicago, IL • On-site

Part-time

Re-posted 11 days ago


Job description

Description
Join the Team Building Chicago's Next-Generation Quantum Testbed
The IQCC is a world-class quantum facility, providing state-of-the-art infrastructure to support quantum computing research and development for both academia and industry. The IQCC is managed and operated by Quantum Machines (QM), the global leader in quantum computing control systems, providing the hardware and software infrastructure powering many of the world's most advanced quantum computing programs.
We are looking for a highly motivated intern who is excited to gain hands-on experience with cutting-edge quantum hardware, advanced cryogenic systems, and one of the fastest-growing quantum ecosystems in the world. This is a unique opportunity to work alongside experienced physicists and engineers while contributing to the operation and development of advanced quantum computing infrastructure.
The successful candidate will join the team operating our new laboratory in Chicago, which includes multiple dilution refrigerators, advanced measurement systems, and a wide range of quantum and classical devices. The facility is being established by Quantum Machines as part of the Illinois Quantum & Microelectronics Park (IQMP).
Responsibilities:
  • Assist with the operation and maintenance of dilution refrigerators and supporting laboratory infrastructure.
  • Support calibration and characterization activities for quantum devices using Quantum Machines' control systems.
  • Participate in the assembly, testing, and optimization of experimental quantum computing platforms.
  • Work closely with physicists, engineers, and the lab management team to solve technical and operational challenges.
  • Contribute to delivering a world-class research environment for academic and industry customers.

Internship Details:
  • Location: Chicago, Illinois (On-site).
  • Time Commitment: 20-25 hours per week (2-3 days per week).
  • Start Date: Immediate.
  • Duration: Ongoing, with the possibility of conversion to a full-time position.

Requirements
  • Master's degree or PhD in Experimental Physics, Electrical Engineering, Applied Physics, Quantum Engineering, or a related field.-Must
  • Strong experimental laboratory skills and attention to detail.-Must
  • Excellent communication, organizational, and problem-solving abilities.
  • Ability to work on-site in Chicago.-Must
  • Current enrolment in a Master's or PhD program is not required

Preferred
  • Experience working with quantum computing hardware.
  • Experience operating cryogenic systems or dilution refrigerators.
  • Familiarity with microwave measurements and laboratory instrumentation.
  • Python programming experience.
  • Experience with Quantum Machines control systems.

What We Offer
  • A paid internship with hands-on exposure to state-of-the-art quantum technologies.
  • The opportunity to work alongside leading experts in quantum computing and experimental physics.
  • Direct involvement in a rapidly growing ecosystem that includes universities, startups, national laboratories, and technology companies.
  • A unique learning experience with the potential to transition into a full-time role.