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Internship Data Annotation Analyst Jobs in Raleigh, NC

Vadum Inc

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

... image annotation projects. In this role, you will review images and accurately assign the ... Job Duties and Responsibilities Review and analyze images. Apply accurate labels according to ...

Accenture

Data Protection, A/SA-Evergreen

Durham, NC

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Accenture

Data Protection, A/SA-Evergreen

Raleigh, NC

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

NCSU

Temporary IT Analyst / Programmer II

Raleigh, NC

$30 - $39/hr

This role involves managing multiple interns who will contribute to software development along ... well as data infrastructure efforts being developed in partnership with NC Ag Analytics. The ...

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All JobsData Annotation Analyst JobsInternship Data Annotation Analyst JobsInternship Data Annotation Analyst Jobs in Raleigh, NC

Internship Data Annotation Analyst information

See Raleigh, NC salary details

$11

$21

$40

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

As of Aug 25, 2026, the average hourly pay for internship data annotation analyst in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

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

AspectInternship Data Annotation AnalystData Labeling Specialist
CredentialsTypically pursuing or recent graduate in related fieldRelevant certifications or experience preferred
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation companies
Industry UsageCommon in AI, machine learning, and tech industriesUsed across AI, autonomous vehicles, and healthcare sectors

The Internship Data Annotation Analyst is usually an entry-level role for students or recent graduates gaining experience in data annotation. In contrast, Data Labeling Specialists are more experienced professionals focused on accurately labeling data for AI models. Both roles are essential in AI development, but the internship provides learning opportunities, while the specialist role involves more independent work and expertise.

What are the most commonly searched types of Data Annotation Analyst jobs in Raleigh, NC?

The most popular types of Data Annotation Analyst jobs in Raleigh, NC are:

Internship Data Annotation Analyst jobs near you

Data Labeling Specialist

Raleigh, NC • On-site

Vadum Inc
See more jobs at Vadum Incexternal

$12 - $15/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Description

 We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to support image annotation projects. In this role, you will review images and accurately assign the appropriate labels based on provided guidelines. 


 Job Duties and Responsibilities


Review and analyze images.

Apply accurate labels according to project instructions and quality standards.

Maintain high levels of accuracy and consistency across assigned tasks.

Follow labeling guidelines and update annotations as needed based on feedback.

Meet productivity and quality targets while ensuring attention to detail.


Other Duties

May be required to perform other duties as assigned by management, which are reasonably within the scope of the position.

Requirements

  • Strong logical thinking and problem-solving skills.
  • Ability to visually identify objects and distinguish fine details in images.
  • Excellent attention to detail and accuracy.
  • Ability to follow detailed instructions and labeling guidelines.
  • Basic computer skills and ability to work independently.
  • Previous experience in data labeling, image annotation, or quality assurance.
  • Familiarity with AI, machine learning, or annotation tools is a plus, but not required.

Physical Demands

  • Work is sedentary and usually accomplished while sitting at a desk and working on a computer.
  • Some walking and standing may occur in the course of a normal workday to attend meetings.
  • Items carried typically are light objects weighing less than 15 lbs. such as a notebook, laptop, backpack.
  • Lifting moderately heavy objects is not normally required.
  • Work requires ability to operate standard office and computer equipment.

Work Environment

  • Work is performed in an office environment.


Travel

  • None.

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