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Edge Ai Machine Learning Jobs in Chicago, IL (NOW HIRING)

TSMG

AI/ML Data Contributor

Chicago, IL

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 ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

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 ...

TSMG

AI/ML Data Contributor

Chicago, IL

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 ...

TSMG

AI/ML Data Contributor

Chicago, IL

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 ...

TSMG

AI/ML Data Contributor

Chicago, IL

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 ...

TSMG

AI/ML Data Contributor

Chicago, IL

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 ...

TSMG

AI/ML Data Contributor

Chicago, IL

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 ...

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Showing results 21-40

All JobsEdge Ai Machine Learning JobsEdge Ai Machine Learning Jobs in Chicago, IL

Edge Ai Machine Learning information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

How much do edge ai machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for edge ai machine learning in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 per year, depending on experience, location, and employer.

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

How to become an edge AI machine learning engineer?

To become an edge AI machine learning engineer, develop strong skills in machine learning, embedded systems, and programming languages like Python and C++. Gain experience with hardware platforms such as NVIDIA Jetson or Raspberry Pi, and learn to optimize models for low-power, resource-constrained environments. Earning certifications in AI, embedded systems, or IoT can also enhance your qualifications.
What are the most commonly searched types of Edge Ai Machine Learning jobs in Chicago, IL? The most popular types of Edge Ai Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Edge Ai Machine Learning jobs in Chicago, IL? For Edge Ai Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Edge Ai Machine Learning jobs in Chicago, IL look for? The top searched job categories for Edge Ai Machine Learning jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Edge Ai Machine Learning jobs? Cities near Chicago, IL with the most Edge Ai Machine Learning job openings:
Edge Ai Machine Learning jobs near you
Infographic showing various Edge Ai Machine Learning job openings in Chicago, IL as of August 2026, with employment types broken down into 5% Internship, 79% Full Time, and 16% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $43,867 per year, or $21.1 per hour.

AI/ML Data Contributor

TSMG

Chicago, IL

Full-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.
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