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Ai Labelling Jobs (NOW HIRING)

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 ...

Vadum, Inc.

Data Labeling Specialist

Raleigh, NC · On-site

$10/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 ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... labeling strategies and tooling for automated annotation, QA workflows, dataset management ... Skild AI develops artificial intelligence systems that enable robots to act in physical ...

Innodata Inc.

Generative AI Associate

$15/hr

We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global ... Labeling elements of a piece of content rather than the content as a whole. * Assigning predefined ...

Weekday AI

Project Coordinator - AI & Data Projects

$45 - $70/hr

Previous project or program coordination experience within AI, machine learning, data labeling, model evaluation, or research operations . * Experience supporting AI or data programs at large ...

New

Aerotek

Price Labeler

Carlisle, PA

$17.80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Price Labeler 1st Shift: 7:00am to 3:30pm - $17.30/hr 2nd Shift: 3:30pm to 12:00am - $17.80/hr ... AI helps assess applications and qualifications, but final decisions are made by our hiring team.

Create Music Group

Staff AI Engineer

Los Angeles, CA · On-site

The company operates as a record label, distribution company, and entertainment network which ... Job Summary This Staff AI Engineer role sits at the intersection of AI systems architecture and ...

Innodata Inc.

Generative AI Associate

$15/hr

We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to ... Labeling elements of a piece of content rather than the content as a whole. * Assigning predefined ...

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Ai Labelling information

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$13

$54

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How much do ai labelling jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ai labelling in the United States is $54.42, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $64.90 per hour, depending on experience, location, and employer.

What is an AI labelling?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

What are the key skills and qualifications needed to thrive in AI labelling?

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

What are some typical challenges faced in AI labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.

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Ai Labelling jobs near you
Infographic showing various Ai Labelling job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $113,204 per year, or $54.4 per hour.

Data Labeling Specialist

Vadum Inc

Raleigh, NC • On-site

$12 - $15/hr

Full-time

Posted 25 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.