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Part Time Data Labelling Jobs (NOW HIRING)

Total AI

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Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

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 ...

Total AI

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Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

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 ...

Total AI

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Korean AI Task Contributor, Part-Time Remote

OR · Remote

$31 - $35/hr

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 ...

Fingerprinting Express

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Data Entry Clerk

Las Vegas, NV · On-site

$16 - $20/hr

Data Entry Clerk (Part Time) Fingerprinting Express -- Las Vegas Area Fingerprinting Express is ... Label and organize digital files for easy retrieval * Maintain confidentiality and security of ...

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AST SpaceMobile

AI Lab Manager

Midland, TX · On-site

AST SpaceMobile is seeking an AI Data Operations Manager based in Midland, TX to operate, secure ... You will hire, train, schedule, and supervise a part-time labeling workforce on AST's in-house ...

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Part Time Data Labelling information

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$46K

$165K

$243.5K

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

As of Aug 1, 2026, the average yearly pay for part time 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 Data Labelling Specialist, and why are they important?

To thrive as a Part Time Data Labelling Specialist, you need a keen attention to detail, basic data management skills, and familiarity with data annotation concepts, usually supported by a high school diploma or equivalent. Experience with data labeling platforms, annotation tools, and sometimes spreadsheet software like Excel or Google Sheets is often required. Strong focus, reliability, and the ability to follow detailed instructions make someone stand out in this role. These skills are crucial to ensure the accuracy and consistency of labeled data, which directly impacts the effectiveness of machine learning models.

What does a typical workday look like for someone in a part-time data labelling role?

As a part-time data labeller, your daily tasks generally involve reviewing and tagging data such as images, videos, or text according to specific guidelines provided by the employer. You'll often work independently, but may participate in virtual meetings or communicate with project leads to clarify instructions. Accuracy and attention to detail are crucial, as your work directly impacts the quality of machine learning models. The role is usually remote or office-based with flexible hours, making it suitable for students or those seeking supplementary income.

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

AspectPart Time Data LabellingPart Time Data Annotation
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or office-based, flexible hoursRemote or office-based, flexible hours
Industry UsageUsed across AI, machine learning, and data science projectsUsed across AI, machine learning, and data science projects

Both roles involve labeling data to train AI models, often with similar skills and work settings. Data labelling typically focuses on categorizing data, while data annotation may include more detailed tasks like adding metadata or annotations. The roles are often interchangeable depending on project needs, but both are essential in AI development.

What is part time data labelling?

Part time data labelling involves reviewing and annotating data—such as images, text, or audio—for use in machine learning and artificial intelligence projects. Data labellers help by identifying and tagging specific elements in datasets so that algorithms can learn to recognize patterns. This work is usually done remotely, offers flexible hours, and requires attention to detail and accuracy. It is a popular entry-level position for those interested in AI, technology, or remote work opportunities.
More about Part Time Data Labelling jobs
What are the most commonly searched types of Data Labelling jobs? The most popular types of Data Labelling jobs are:
What job categories do people searching Part Time Data Labelling jobs look for? The top searched job categories for Part Time Data Labelling jobs are:
Part Time Data Labelling jobs near you
Infographic showing various Part Time Data Labelling job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Session Moderator, AI Data Studio (Part-Time)

HumanSignal

Columbus, OH

$18 - $25/hr

Part-time

Posted 27 days ago

Job description

About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.


We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.


We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.


If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

About the Role

Moderators run our in-person data collection sessions. You'll set up the recording equipment, walk participants through their tasks, keep the session on track, and make sure the data we capture is clean and usable. It's part technical, part people. The best moderators are the ones who can troubleshoot a camera rig and put a nervous first-time participant at ease in the same five minutes.

  • Location: Columbus, OH (Discovery District), 100% onsite
  • Type: Part time, hourly
  • Pay: $18 to $25 per hour
What You'll Do
  • Lead group and individual data collection sessions from start to finish
  • Set up, operate, and troubleshoot recording equipment: cameras, microphones, sensors, and session software
  • Give clear instructions, answer participant questions, and keep sessions moving on schedule
  • Monitor recordings in real time and catch quality issues before they become re-shoots
  • Flag equipment or process problems to the shift Team Lead
  • Reset the studio between sessions
What You Bring
  • Hands-on experience with technical setup of some kind. We've had great moderators come from audio engineering, IT support, photography, videography, AV and live events, and robotics or equipment operation
  • Comfort speaking in front of a group and directing a room. This is non-negotiable; moderators lead sessions, not just run gear
  • Patience and clarity when explaining instructions to people with zero technical background
  • Attention to detail. Small setup mistakes ruin whole sessions
  • Availability for part-time shifts during active project periods, including some evenings and weekends
Why This Role

You'll work with interesting capture technology, build real facilitation experience, and see exactly how the data behind modern AI gets created. Flexible part-time scheduling around active projects.

HumanSignal is an equal opportunity employer. Final pay within the posted range is based on experience and equipment scope.