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Data Labeling Jobs in Chicago, IL (NOW HIRING)

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

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 ...

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Data Labeling information

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$10

$25

$59

How much do data labeling jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data labeling in Chicago, IL is $25.16, according to ZipRecruiter salary data. Most workers in this role earn between $16.53 and $28.87 per hour, depending on experience, location, and employer.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

How can I get started in data labeling?

To get started in data labeling, you should develop basic computer skills and familiarize yourself with common labeling tools or platforms. Many entry-level positions require attention to detail and sometimes a short training or tutorial before beginning work.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a controlled environment.

Is data labeling a good career?

Data labeling is a growing field within data annotation and machine learning, often involving tasks like image, text, or audio annotation. It can offer entry-level opportunities with flexible schedules, but typically requires attention to detail and familiarity with labeling tools. Career advancement may depend on gaining technical skills or moving into related roles such as data analysis or machine learning engineering.
What are the most commonly searched types of Data Labeling jobs in Chicago, IL? The most popular types of Data Labeling jobs in Chicago, IL are:
What are popular job titles related to Data Labeling jobs in Chicago, IL? For Data Labeling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Labeling jobs in Chicago, IL look for? The top searched job categories for Data Labeling jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Labeling jobs? Cities near Chicago, IL with the most Data Labeling job openings:
Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Chicago, IL as of August 2026, with employment types broken down into 5% Internship, 55% Full Time, 25% Part Time, 10% Contract, and 5% Nights. Highlights an 100% In-person job distribution, with an average salary of $52,328 per year, or $25.2 per hour.

AI/ML Data Contributor

TSMG

Chicago, IL • Remote

Part-time

Re-posted 12 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.