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Internship Remote Data Annotation Jobs in Sugar Grove, IL

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)

Internship Remote Data Annotation information

See Sugar Grove, IL salary details

$11

$22

$41

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

As of Jul 28, 2026, the average hourly pay for internship remote data annotation in Sugar Grove, IL is $22.12, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $24.09 per hour, depending on experience, location, and employer.

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

AspectInternship Remote Data AnnotationData Labeling Specialist
CredentialsTypically students or entry-level with basic computer skillsRelevant experience or certifications in data annotation or related fields
Work EnvironmentRemote, flexible hours, often part-timeRemote or on-site, depending on employer, often full-time
Industry UsageCommon in AI/ML projects, tech companies, research institutionsUsed in AI/ML, autonomous vehicles, healthcare, and tech sectors

Internship Remote Data Annotation roles are usually entry-level, temporary positions aimed at gaining experience, while Data Labeling Specialists are more experienced roles focused on accurately annotating data for machine learning models. Both roles are essential in AI development but differ in experience requirements and job scope.

What typical tasks can I expect to handle as a remote data annotation intern, and how is performance usually evaluated?

As a remote data annotation intern, your primary tasks will involve reviewing and labeling data—such as images, text, or audio—according to specific guidelines provided by your team. You'll likely work with annotation tools, follow detailed instructions to ensure high-quality and consistent labeling, and may participate in quality assurance checks. Performance is generally evaluated based on annotation accuracy, speed, and your ability to follow instructions, with regular feedback provided via virtual meetings or project management platforms. Effective communication and attention to detail are key to succeeding in this collaborative, remote environment.

What are the key skills and qualifications needed to thrive as a Remote Data Annotation Intern, and why are they important?

To thrive as a Remote Data Annotation Intern, you need attention to detail, basic data processing skills, and familiarity with labeling guidelines, generally supported by a high school diploma or relevant coursework. Experience with annotation platforms, spreadsheets, and sometimes basic programming tools or machine learning frameworks is often required. Strong communication, time management, and the ability to follow precise instructions are valuable soft skills in this role. These skills ensure high-quality, accurate data labeling, which is critical for training reliable machine learning models.

What is a remote data annotation internship?

A remote data annotation internship is a temporary position where interns work from home or another remote location to label, categorize, or tag data such as images, text, or audio. This annotated data is often used to train machine learning models and improve artificial intelligence systems. Interns typically use specialized platforms or tools to complete their tasks, and gain hands-on experience in data handling, quality control, and understanding AI workflows. The internship is ideal for those interested in technology, data science, or AI, and often requires strong attention to detail and good communication skills.
What cities near Sugar Grove, IL are hiring for Internship Remote Data Annotation jobs? Cities near Sugar Grove, IL with the most Internship Remote Data Annotation job openings:
Infographic showing various Internship Remote Data Annotation job openings in Sugar Grove, IL as of July 2026, with employment types broken down into 2% Locum Tenens, 33% Full Time, 27% Part Time, 1% Contract, 36% Nights, and 1% Summer. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $46,007 per year, or $22.1 per hour.
Fall Internship - Data Analytics (Remote)

Fall Internship - Data Analytics (Remote)

Sourcebooks LLC

Naperville, IL • On-site, Remote

$17 - $20/hr

Internship

Posted 8 days ago


Job description

Join Sourcebooks, the fastest growing publisher in the U.S., where creativity, innovation, and storytelling collide. This isn't a coffee-run internship - you'll contribute to real projects, collaborate with publishing professionals, and see how your work impacts readers everywhere. What you study doesn't matter: we're looking for your curiosity, your drive to learn, and your interest in books.
Program Details
  • Program Dates: September 14 - November 21, 2026
  • Schedule: 21 hours/week throughout the program
  • Compensation: Paid, $17/hour ($20/hour for interns based in CT, MA, MD, NJ, NY, PA, VA, or Washington D.C.)
  • Application Deadline: August 1, 2026 - apply soon!

About the Role: Data & Analytics
The Sourcebooks Data Team is looking for a curious, detail-oriented student to support our work turning publishing data into insight. Projects vary by season, so you'll pitch in wherever the team's priorities land in the fall - this could include reporting, analysis, dashboarding, or data infrastructure work, depending on what's on our plate.
Duties include (but not limited to):
  • Assist with building and maintaining reports and dashboards used across the company
  • Help analyze sales, marketing, and title performance data to support business decisions
  • Support data cleaning, organization, and documentation efforts
  • Contribute to special projects and ad hoc analysis as priorities come up throughout the fall
  • Collaborate with team members across departments to understand data needs and deliver useful, accurate answers
  • Provide general administrative support as needed
What we're looking for:
  • Interest and/or coursework in business analysis, data analytics, data science, or data engineering
  • Strong analytical and problem-solving skills
  • Comfort working with spreadsheets and data tools; experience with SQL, Python, or Power BI is a plus but not required
  • Strong attention to detail and organizational skills
  • Curious, proactive attitude and comfort with ambiguity as priorities shift
  • A genuine interest in books and publishing
Eligibility & Requirements
  • Must be a current college student (sophomore, junior, senior) or recent graduate
  • Able to commit to 21 hours/week for the full program duration (9/14 - 11/21/26)
  • Must reside in one of the following states for the duration of the internship: Arizona, Connecticut, Illinois, Louisiana, Massachusetts, Maryland, Michigan, Minnesota, New Jersey, New York, Oregon, Pennsylvania, Tennessee, Texas, Virginia, Washington D.C., and Wisconsin.

Your Cover Letter Matters - A Lot!
We want to know why you want to intern at Sourcebooks. Your cover letter is your chance to tell us:
  • Why publishing - and why Sourcebooks - what excites you
  • What you hope to learn and contribute
  • How your creativity, curiosity, or love of books shines through

Applications without a cover letter won't be considered, so take the time to tell your story!
Why Intern With Sourcebooks: Hands-on experience on real projects, exposure to the full publishing process, panels and networking events, and a mentorship program - all at one of the fastest-growing publishers in the country.
  • Named #2 Most Loved Workplace by Newsweek (2024)
  • Recognized by Fast Company as one of the Most Innovative Companies (2024)
  • Over 300 million lives changed through books - and counting
  • A culture built on creativity, innovation, and impact

Sourcebooks values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.