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Internship Remote Data Labelling Jobs in Chicago, IL

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

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 ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

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 ...

CoSourcing Partners

Summer Internship Program

Chicago, IL · On-site +1

$7.50 - $15/hr

Hybrid / Remote Options Available Compensation: $7.50 - $15.00. /Hour (based on experience and ... Cloud, AI, and Data Professional Services Interns work closely with executive leadership on data ...

Powers Health

Associate Data Analyst

Munster, IN · Remote

The position is remote, but you need to live locally to come onsite periodically for meetings ... internships or academic. * Proficient in Excel and other basic data analysis tools. * Working ...

Alignerr

Data Security & DLP Analyst

Chicago, IL · Remote

Remote * Commitment : 10-40 hours/week What You'll Do * Analyze realistic data security and DLP ... Generate, label, and validate data-security cases used to train and benchmark AI systems * Help AI ...

Alignerr

Vulnerability Management Analyst

Chicago, IL · Remote

... data labeling, or security research Why Join Us * Work directly on frontier AI systems alongside top research labs * Fully remote and flexible - work on your own schedule * Freelance perks: autonomy ...

VIVA USA INC

Data Analyst

Chicago, IL · On-site +1

$39.43 - $44.43/hr

... labelling standards and other source system information to produce IT consumable information Data ... Remote VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity ...

Omron

Data Scientist Intern

Hoffman Estates, IL · On-site +1

Hybrid/Remote Duration: Summer 2026 Position Overview We are seeking a motivated and detail ... This internship provides hands-on experience across the full data lifecycle, from requirements ...

New

Graycor Inc.

Investment Analyst Internship

Chicago, IL · On-site +1

$950/wk

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

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Internship Remote Data Labelling information

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$12

$23

$43

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

As of Jun 1, 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 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 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 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:
What are popular job titles related to Internship Remote Data Labelling jobs in Chicago, IL? For Internship Remote Data Labelling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Internship Remote Data Labelling jobs in Chicago, IL look for? The top searched job categories for Internship Remote Data Labelling jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Internship Remote Data Labelling jobs? Cities near Chicago, IL with the most Internship Remote Data Labelling job openings:
Internship Remote Data Labelling jobs near you
Infographic showing various Internship Remote Data Labelling job openings in Chicago, IL as of May 2026, with employment types broken down into 77% Full Time, 13% Part Time, 1% Temporary, 8% Contract, and 1% Nights. Highlights an 60% Physical, and 40% Remote job distribution, with an average salary of $48,220 per year, or $23.2 per hour.

AI/ML Data Contributor

TSMG

Chicago, IL • Remote

Full-time

Posted 4 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. 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.