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Internship Remote Data Labelling Jobs in Chicago, IL

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 ...

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 ...

Data & Deal Flow Management: Help track deal flow and maintain accurate records in CRM databases ... Remote work options for certain positions * Potential to earn up to $950 in wellness incentives

Student Intern

Downers Grove, IL · On-site +1

$20 - $25/hr

Interns will collaborate closely with cross-functional teams and leverage data analytics tools ... Location: Downers Grove, IL (Hybrid) or Remote * Department: Lifecycle Services (Aftermarket)

Product Data Analyst

Chicago, IL · Remote

$145K - $175K/yr

... internships) * SQL fluency -- complex joins, incremental computation, window functions, query ... Experience building metrics frameworks or KPI hierarchies from scratch How we work Fully remote ...

Evans Scholars

Chicago, IL · On-site +1

$15.50 - $20/hr

Interns will work with engineers, architects, geologists, and other scientists on a variety of ... We are also open to remote working from anywhere across the US. We have a very comfortable and ...

Provider Services Representative

Chicago, IL · On-site +1

$41K - $56K/yr

Requires the data entry of updates to internal provider systems with a 95% or greater accuracy rate ... Remote - candidates must have their own equipment. VIVA is an equal opportunity employer. All ...

... data-driven experiences that serve both enterprise clients (major media companies, record labels ... This role will report to the Head of Product and is open to being 100% remote. Key Responsibilities ...

Proficient in mobile data entry and Microsoft Office Suite. Requirements Must meet the minimum ... Working Conditions Frequent travel to client sites, including remote or outdoor environments.

Proficient in mobile data entry and Microsoft Office Suite. Requirements Must meet the minimum ... Working Conditions Frequent travel to client sites, including remote or outdoor environments.

Proficient in mobile data entry and Microsoft Office Suite. Requirements Must meet the minimum ... Working Conditions Frequent travel to client sites, including remote or outdoor environments.

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Internship Remote Data Labelling information

See Chicago, IL salary details

$12

$23

$43

How much do internship remote data labelling jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for internship remote data labelling in Chicago, IL is $23.18, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Remote Data Labelling professional, and why are they important?

To excel as an Internship Remote Data Labelling professional, you need strong attention to detail, basic computer literacy, and familiarity with data annotation processes, often requiring at least a high school diploma or equivalent. Experience with data labelling platforms such as Labelbox or Supervisely, and understanding file formats like CSV or JSON, are commonly expected. Reliability, time management, and effective communication are important soft skills for remote collaboration and meeting deadlines. These competencies ensure high-quality, consistent data labelling that supports accurate machine learning model development.

What is the difference between Internship Remote Data Labelling vs Data Annotation Specialist?

AspectInternship Remote Data LabellingData Annotation Specialist
CredentialsTypically students or entry-level with basic computer skillsOften requires experience or training in data annotation tools
Work EnvironmentRemote, flexible hours, internship settingRemote or on-site, professional setting
Employer & IndustryTech companies, AI startups, research projectsAI, machine learning, data services companies
Search & Comparison IntentLearning opportunity, entry-level roleProfessional data labeling work, career development

Internship Remote Data Labelling typically involves entry-level, temporary roles focused on training and learning, often suitable for students. Data Annotation Specialists are more experienced professionals performing detailed labeling tasks for ongoing projects. While both roles involve data labeling, the internship emphasizes skill development, whereas the specialist role centers on professional expertise.

What are some typical challenges faced by remote data labelling interns, and how can they be addressed?

Remote data labelling interns often encounter challenges such as managing repetitive tasks, maintaining high accuracy, and communicating effectively with team members across different time zones. To address these, it's helpful to establish a structured daily routine, regularly review quality guidelines, and use collaboration tools like Slack or Teams to stay connected. Seeking timely feedback from supervisors and participating in virtual team check-ins can also improve both efficiency and data consistency.

What is an Internship Remote Data Labelling job?

An Internship Remote Data Labelling job involves reviewing and tagging data—such as images, text, or audio—from a remote location to help train machine learning algorithms. Interns in this role classify, annotate, or categorize raw data according to specific guidelines provided by the employer or project. This work is crucial for improving the accuracy of AI models, as properly labeled data enables better learning outcomes. Remote data labelling internships are ideal for students or recent graduates looking to gain experience in AI, data science, or related fields while working from anywhere.
What are the most commonly searched types of Remote Data Labelling jobs in Chicago, IL? The most popular types of Remote Data Labelling jobs in Chicago, IL are:

AI/ML Data Contributor

TSMG

Chicago, IL • Remote

Full-time

Re-posted 18 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.