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Entrylevel Ai Data Labeling Jobs (NOW HIRING)

Vadum Inc

Data Labeling Specialist

Raleigh, NC

$12 - $15/hr

Description We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to ... Familiarity with AI, machine learning, or annotation tools is a plus, but not required. Physical ...

Vadum, Inc.

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

We are seeking a detail-oriented Data Labeling Specialist temporarily (6 months) to support image ... Familiarity with AI, machine learning, or annotation tools is a plus, but not required. Physical ...

SC Works Trident

Data Scientist /data analyst entry level /AI /software programmer(Remote) Occupation: Data Scientists Location: Savannah, GA - 31401 Job Type: Full Time (30 Hours or More) Posted: 03/23/2026 ...

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ...

Credence

Entry-Level AI Software Engineer

Mclean, VA · On-site

$90K - $110K/yr

With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and ... Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ...

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Entrylevel Ai Data Labeling information

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How much do entrylevel ai data labeling jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for entrylevel ai data labeling in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

What is the difference between Entrylevel Ai Data Labeling vs Data Annotation Specialist?

AspectEntrylevel Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; basic skills, sometimes certifications in data management
Work EnvironmentRemote or on-site, repetitive tasksRemote or on-site, similar repetitive tasks
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries

Both roles involve labeling data for AI training, often requiring similar skills and work environments. The main difference lies in terminology; 'Data Annotation Specialist' may imply a broader scope or more specialized tasks, but both are entry-level roles focused on preparing data for machine learning models.

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Entrylevel Ai Data Labeling jobs near you
Infographic showing various Entrylevel Ai Data Labeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $29,053 per year, or $14 per hour.

Data Labeling Specialist

Raleigh, NC

Vadum Inc
See more jobs at Vadum Incexternal

$12 - $15/hr

Full-time

Re-posted 20 days ago

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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