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Part Time Remote Data 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 ...

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All JobsData Labelling JobsPart Time Remote Data Labelling Jobs

Part Time Remote Data Labelling information

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$46K

$165K

$243.5K

How much do part time remote data labelling jobs pay per year?

As of Aug 1, 2026, the average yearly pay for part time remote data labelling in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Remote Data Labelling specialist, and why are they important?

To excel as a Part Time Remote Data Labelling specialist, you need strong attention to detail, basic computer literacy, and a solid understanding of data privacy and handling protocols, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, spreadsheet software, and sometimes specific data labelling tools like Labelbox or Supervisely is typically required. Reliability, time management, and clear communication are crucial soft skills for meeting deadlines and collaborating in a remote setting. These skills and qualities ensure that labelled data is accurate, consistent, and valuable for training effective machine learning models.

What is the difference between Part Time Remote Data Labelling vs Part Time Remote Data Annotation?

AspectPart Time Remote Data LabellingPart Time Remote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusLabeling data for training AI modelsAnnotating data for AI training

Part Time Remote Data Labelling and Part Time Remote Data Annotation are similar roles involving preparing data for AI systems. Labelling typically involves categorizing data, while annotation may include adding detailed notes or markings. Both roles require attention to detail and are performed remotely, making them suitable for flexible schedules. The main difference lies in the specific tasks, but they are often used interchangeably depending on the employer or project.

What is a part time remote data labelling job?

A part time remote data labelling job involves annotating or tagging data—such as images, text, or audio—from your own location, typically using specialized software provided by employers. The role is essential for training machine learning models, as accurate labels help computers learn to recognize patterns. These jobs are often flexible, allowing you to set your own hours and work from anywhere with an internet connection. No advanced technical skills are usually required, but attention to detail is important.

What are some common challenges faced by part-time remote data labelling professionals, and how can they be managed?

Part-time remote data labellers often face challenges such as maintaining consistent accuracy, staying focused during repetitive tasks, and managing communication with a distributed team. To address these, it’s helpful to establish a quiet, distraction-free workspace, use productivity techniques like the Pomodoro method, and regularly review labelling guidelines to minimize errors. Leveraging communication tools and participating in team check-ins can also help clarify questions and build a sense of connection with colleagues.
More about Part Time Remote Data Labelling jobs
What cities are hiring for Part Time Remote Data Labelling jobs? Cities with the most Part Time Remote Data Labelling job openings:
What are the most commonly searched types of Remote Data Labelling jobs? The most popular types of Remote Data Labelling jobs are:
What states have the most Part Time Remote Data Labelling jobs? States with the most job openings for Part Time Remote Data Labelling jobs include:
What job categories do people searching Part Time Remote Data Labelling jobs look for? The top searched job categories for Part Time Remote Data Labelling jobs are:
Part Time Remote Data Labelling jobs near you
Infographic showing various Part Time Remote Data Labelling job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Korean AI Task Contributor, Part-Time Remote

Total AI

OR • Remote

$31 - $35/hr

Part-time

Posted 16 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.