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Part Time Data Labelling Jobs (NOW HIRING)

Innodata Inc.

Data AI Annotator - Flexible Hours

$15/hr

It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ... Labeling elements of a piece of content rather than the content as a whole. * Assigning predefined ...

AST SpaceMobile

AI Lab Manager

Midland, TX

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 ...

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 ...

NEW YORK EDGE, INC

Data Entry Specialist

Brooklyn, NY · On-site

$20 - $25/hr

Schedule: * Part-Time * Up to 20 hours per week while school is in session * Up to 25 hours per ... Entering the schedule and labeling activities into required databases * Set up class rosters and ...

Innodata Inc.

AI Data Specialist - Flexible Hours

$15/hr

It's a part-time, remote, flexible, project-specific opportunity designed for those who want to ... Labeling elements of a piece of content rather than the content as a whole. * Assigning predefined ...

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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 22, 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 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.

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 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 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.

How can I get started in part time data labeling?

To start as a part-time data labeler, look for online platforms that offer data annotation jobs, such as labeling images, text, or audio. You typically need basic computer skills, attention to detail, and sometimes familiarity with labeling tools or software; some roles may require a short onboarding or training process. Creating a profile on freelance or job sites can help you find available opportunities and apply directly.

How much are part time data labelers paid?

Part-time data labelers typically earn between $10 and $20 per hour, depending on the company, location, and experience. Pay rates may vary based on the complexity of labeling tasks and whether the work is paid hourly or per task.
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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?

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Part Time Data Labelling jobs near you
Infographic showing various Part Time Data Labelling job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data AI Annotator - Flexible Hours

Innodata Inc.

Remote

$15/hr

Full-time, Part-time

Re-posted 28 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

165th of 246 rated software companies

Job description

Scope of the Role: 

At Innodata, we're partnering with the world's leading technology companies to build the future of generative AI and large language models (LLMs). We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It's a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact-on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 

You'll be helping LLMs learn the intricacies of language and reasoning-not just how to write, but how to think. If you've ever dreamed of shaping the intelligence behind tomorrow's technology, this is your chance. 

This is more than just a gig-it's a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 

What You'll Own:

  • Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.  
  • Labeling elements of a piece of content rather than the content as a whole.  
  • Assigning predefined categories or labels to items.  
  • Evaluating the perceived quality and/or appropriateness of content  
  • Generating labels to advance understanding of a concept, trend etc.  
  • Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.  
  • Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.  
  • Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. 
  • Ordering or ranking items based on a set of preferences or criteria.  
  • Creating prompts or questions that will be used to generate responses from a language model or other AI system.  
  • Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).  
  • Generating responses to prompts or questions using a language model or other AI system.  
  • Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.  
  • Producing concise summaries of longer pieces of text or data.  
  • Converting spoken language or audio content into written text.  
  • Converting text or spoken language from one language to another.  
  • Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.

You'll Thrive in This Role If You Have:

  • A Bachelor's degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master's or PhD)
  • Professional or Expert level proficiency (C1/C2) in English 

The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.

What Innodata employees say

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