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Remote Content Labelling Jobs (NOW HIRING)

Total AI

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Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

... remote AI training projects ... Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing ...

Total AI

Be Seen First

Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

... remote AI training projects ... Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing ...

Total AI

Be Seen First

Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

... remote AI training projects ... Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing ...

PointClickCare

Content Writer, Contractor

USA - Remote Hybrid/Remote: Remote Term: 6 month contract **Travel to Office expectations** For ... This includes crafting dialog boxes, microcopy, ghost text, labels, button copy, and toast/snackbar ...

Nestle

Artwork & Labeling Associate

Bridgewater, NJ · Remote

This will be a remote position. RESPONSIBILITIES: D2D Project Execution & Workflow Management ... Ensure approved content and artwork are accurately reflected throughout project workflows and ...

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Remote Content Labelling information

See salary details

$29.5K

$116.6K

$129K

How much do remote content labelling jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote content labelling in the United States is $116,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $128,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced in remote content labelling roles and how can they be managed?

Remote content labellers often encounter challenges such as maintaining focus during repetitive tasks, managing ambiguous guidelines, and ensuring consistent quality across large datasets. To address these, it's helpful to establish a structured daily routine, actively participate in team discussions or feedback sessions, and utilize available resources for clarification on guidelines. Collaborating with team leads and other labellers through chat platforms also helps in resolving uncertainties efficiently and maintaining high accuracy standards.

What are the key skills and qualifications needed to thrive as a Remote Content Labeller, and why are they important?

To thrive as a Remote Content Labeller, you need strong attention to detail, analytical thinking, and familiarity with content guidelines, typically supported by a high school diploma or equivalent. Experience with content management systems, annotation tools, and sometimes specific training on labeling protocols is often required. Excellent communication, time management, and the ability to work independently are valuable soft skills for this role. These skills ensure accurate and consistent labeling, which is critical for training AI systems and maintaining content quality at scale.

What is remote content labelling?

Remote content labelling is the process of identifying, tagging, or classifying various types of digital content—such as images, videos, text, or audio—from a remote location, typically from home. This work is crucial for training machine learning algorithms and improving artificial intelligence systems, as labelled data helps computers understand and process information. Remote content labellers use specific guidelines and tools provided by their employer or client to ensure consistency and accuracy. The job often requires attention to detail, good communication skills, and the ability to follow instructions closely.

What is the difference between Remote Content Labelling vs Remote Data Annotation?

AspectRemote Content LabellingRemote Data Annotation
Primary FocusLabeling and categorizing content such as images, videos, and text for machine learningAdding detailed annotations to data to improve model accuracy, often including bounding boxes, segmentation, or key points
Skills RequiredAttention to detail, understanding of content types, basic data handlingTechnical skills, familiarity with annotation tools, precision in marking data
Work EnvironmentRemote, flexible hours, often part-time or freelanceRemote, similar flexible setup, often within AI or ML projects

Both roles involve working remotely to prepare data for AI models, but Content Labelling primarily involves categorizing content, while Data Annotation requires detailed technical markings. Understanding these differences helps job seekers find the right fit for their skills and career goals.

More about Remote Content Labelling jobs
What cities are hiring for Remote Content Labelling jobs? Cities with the most Remote Content Labelling job openings:
What are the most commonly searched types of Content Labelling jobs? The most popular types of Content Labelling jobs are:
What states have the most Remote Content Labelling jobs? States with the most job openings for Remote Content Labelling jobs include:
What job categories do people searching Remote Content Labelling jobs look for? The top searched job categories for Remote Content Labelling jobs are:
Remote Content Labelling jobs near you
Infographic showing various Remote Content Labelling job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,615 per year, or $56.1 per hour.

Korean AI Task Contributor, Part-Time Remote

Total AI

OR • Remote

$31 - $35/hr

Part-time

Posted 17 days ago

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Job description

APPLY HERE:
https://totaltask.ai/projects/f73f5ed0efc8cebe?lang=ko&utm_source=zip_recruiter
We are looking for fluent Korean speakers to participate in remote AI training projects. Tasks may include reviewing AI-generated content, evaluating responses, labeling data, completing language-based assignments, and helping improve AI systems.

Requirements:

  • Fluent or native-level Korean
  • Strong attention to detail
  • Reliable internet connection and computer access
  • Ability to follow written instructions
  • Previous AI or data-labeling experience is helpful but not required

This is flexible, remote, project-based work. Task availability and compensation may vary by project, and all details will be shown before you begin.
APPLY HERE:
https://totaltask.ai/projects/f73f5ed0efc8cebe?lang=ko&utm_source=zip_recruiter

Company Description

Total AI is a technology company focused on building high-quality, human-generated datasets that support AI training, evaluation, and research.

Our projects may include voice recordings, language-based tasks, content review, data labeling, and response evaluation. This work helps AI systems better understand different languages, accents, communication styles, and real-world situations. We work with contributors from diverse backgrounds and provide clear instructions for every project.