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Internship Data Labeling Jobs (NOW HIRING)

Auto-Labeling & Fine-Tuning: Leverage large open-source models to automatically label your mined data, then use that dataset to train and fine-tune a compact, efficient onboard ML model for siren ...

Data Analyst

Lake Forest, IL · On-site

$30 - $35/hr

Work directly with label file formats to accurately replicate logic and structure * Perform ... Prior internship or project experience (preferred) * Coachability, willingness to learn, and a ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. Candidates must be authorized to work in ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Please note that this is not an internship opportunity. - Candidates must be authorized to work in ...

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Internship Data Labeling information

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$42

How much do internship data labeling jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for internship data labeling in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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

AspectInternship Data LabelingData Labeling Specialist
CredentialsTypically students or entry-level with basic skillsRelevant experience or certifications in data annotation
Work EnvironmentInternship programs, often in tech or AI companiesFull-time or freelance roles in data annotation firms or tech companies
Industry UsageUsed as training or entry-level positionProfessional role with ongoing responsibilities
Search & Comparison IntentUnderstanding entry-level opportunities and trainingClarifying professional roles and career progression

Internship Data Labeling is an entry-level position designed for students or beginners gaining experience in data annotation. In contrast, Data Labeling Specialist is a professional role requiring prior experience or certifications, with more responsibility and independence. Internships serve as training grounds, while specialists handle ongoing data labeling tasks in a professional setting.

What types of tasks can I expect to handle daily as a Data Labeling Intern?

As a Data Labeling Intern, your daily tasks typically include reviewing and accurately tagging data such as images, audio, or text according to specific guidelines provided by the company or project. You may use specialized annotation tools and work closely with data scientists, engineers, or QA teams to ensure high-quality, consistent labeling. Attention to detail is crucial, as your work directly impacts the performance of machine learning models. You might also participate in periodic team meetings to discuss challenges, clarify instructions, and receive feedback to improve labeling accuracy.

What is an internship in data labeling?

An internship in data labeling involves assisting in the process of categorizing and annotating data, such as images, text, or audio, to help train machine learning models. Interns typically use specialized software to tag or classify data according to specific guidelines provided by the company or research team. This role is crucial for developing accurate artificial intelligence systems, as high-quality labeled data improves model performance. Data labeling internships are a great way to gain practical experience in the AI and machine learning field and learn more about data preprocessing workflows.

What are the key skills and qualifications needed to thrive as an Internship Data Labeling specialist, and why are they important?

To excel in an Internship Data Labeling role, you need strong attention to detail, basic analytical skills, and proficiency with data entry or spreadsheet tools, often supported by a high school diploma or current university enrollment. Familiarity with labeling platforms, annotation tools, and sometimes basic programming or database systems is beneficial. Reliability, communication, and the ability to follow instructions precisely are key soft skills for standing out in this position. These skills ensure data accuracy and consistency, which are crucial for developing reliable AI and machine learning models.
More about Internship Data Labeling jobs
What cities are hiring for Internship Data Labeling jobs? Cities with the most Internship Data Labeling job openings:
What are the most commonly searched types of Data Labeling jobs? The most popular types of Data Labeling jobs are:
What states have the most Internship Data Labeling jobs? States with the most job openings for Internship Data Labeling jobs include:
Infographic showing various Internship Data Labeling job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
IT/Microsoft 365 Internship

IT/Microsoft 365 Internship

Global Data Systems Inc

Lafayette, LA • On-site

$14.25 - $19/hr

Internship

Posted 13 days ago


Job description

This internship provides undergraduate students with hands-on exposure to Microsoft 365 technologies, SharePoint Online, and foundational security and compliance concepts in an enterprise environment. The role is designed as a structured learning opportunity with guided support.
What You'll Learn & Support
  • Gain exposure to Microsoft 365 tools including SharePoint, Teams, OneDrive, Outlook, Co-Pilot, Al agent creation, monitoring, refinement, and data labeling.
  • Assist with SharePoint content organization, cleanup, and documentation.
  • Learn foundational concepts related to data security, privacy, and compliance.
  • Observe how enterprise teams manage data classification, retention, and governance.
  • Develop professional skills in communication, documentation, and attention to detail.

Key Responsibilities
  • Assist with organizing and reviewing SharePoint sites and document libraries.
  • Help identify outdated, duplicate, or mislabeled content under supervision.
  • Support documentation of procedures, standards, and learning materials.
  • Shadow team members during security, compliance, or device-management activities.
  • Follow company security and data-handling policies.

What You'll Gain
  • Real-world exposure to enterprise Microsoft technologies.
  • Resume-ready experience in IT operations and governance.
  • Mentorship from experienced IT and security professionals.
  • A strong foundation for future roles in IT, cybersecurity, or cloud services.

Requirements
Required Qualifications
  • Currently pursuing a certificate or degree in IT, CIS, Cybersecurity, MIS, or a related field
  • Basic familiarity with Microsoft 365 tools
  • Strong attention to detail and willingness to learn
  • Ability to follow instructions and document work clearly
  • Professional written and verbal communication skills

Nice to Have
  • Relevant coursework in information systems, cybersecurity, or cloud computing
  • lnterest in IT security, compliance, or enterprise systems
  • Experience organizing digital files or working in shared online environments