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Data Labeling 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 annotation projects. In this role, you will review images and accurately assign the appropriate ...

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 annotation projects. In this role, you will review images and accurately assign the appropriate ...

Vadum Inc

Data Labeling Specialist

Raleigh, NC · On-site

$12 - $15/hr

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 ...

Welocalize

Finnish Data Labeler

Seattle, WA · On-site

$26 - $28/hr

Data Labeling Analyst * Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) * Hours: Full-time, 40 hours per week * Employment Type: W2 Full-Time Employee * Work Authorization: Must be ...

Welocalize

Finnish Data Labeler

San Francisco, CA · On-site

$26 - $28/hr

Data Labeling Analyst * Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent) * Hours: Full-time, 40 hours per week * Employment Type: W2 Full-Time Employee * Work Authorization: Must be ...

Bobyard

Data Labeling Operations Manager

San Francisco, CA · On-site

$90K - $125K/yr

About the role Our models are only as good as the data behind them. You'll own the labeling operation end to end -- the annotator team, the quality bar, the datasets themselves. This is a first-in ...

Bobyard, Inc.

$90K - $125K/yr

About the role Our models are only as good as the data behind them. You'll own the labeling operation end to end -- the annotator team, the quality bar, the datasets themselves. This is a first-in ...

Welocalize

Polish Data Labeler

Manhattan, NY · On-site

$26 - $28/hr

Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...

Welocalize

Polish Data Labeler

Seattle, WA · On-site

$26 - $28/hr

Execute high-volume data labeling and annotation tasks across speech and voice datasets * Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale * Work with audio and ...

Welocalize

Polish Data Labeler

Seattle, WA · On-site

$26 - $28/hr

Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role ...

Welocalize

Polish Data Labeler

New York, NY · On-site

$26 - $28/hr

Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role ...

Nvidia

Engineering Manager, Data Labeling Platform

NVIDIA is looking for an exceptional Engineering Manager to lead, scale, and innovate our core Data Labeling Platform. This is a highly visible, high-impact role where you will bridge the gap between ...

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Data Labeling information

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$10

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$57

How much do data labeling jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data labeling in the United States is $24.51, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $28.12 per hour, depending on experience, location, and employer.

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.
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Data Labeling jobs near you
Infographic showing various Data Labeling job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 78% Full Time, 3% Part Time, 3% Temporary, and 13% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $50,981 per year, or $24.5 per hour.

Data Labeling Specialist

Raleigh, NC • On-site

Vadum Inc
See more jobs at Vadum Incexternal

$12 - $15/hr

Full-time

Re-posted 21 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.