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Part Time Data Labeler Jobs (NOW HIRING)

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 ...

Compass Group

LABEL TECHNICIAN

Oak Creek, WI · On-site

$19/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Full-time and part-time positions offer the following benefits to associates: Retirement Plan ...

Dexxxon Digital Storage Inc

Be Seen First

Warehouse Associate - PART TIME

Lewis Center, OH · On-site

$15/hr

... labeling, repackaging, preparing, and staging for shipment. Additional responsibilities may be ... EOE Company Description Value added distributor of data storage and related products.

Dexxxon Digital Storage Inc

Be Seen First

Warehouse Associate - PART TIME

Lewis Center, OH · On-site

$15/hr

... labeling, repackaging, preparing, and staging for shipment. Additional responsibilities may be ... EOE Company Description Value added distributor of data storage and related products.

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Part Time Data Labeler information

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$10

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$17

How much do part time data labeler jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for part time data labeler in the United States is $13.97, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $15.38 per hour, depending on experience, location, and employer.

What is the difference between Part Time Data Labeler vs Part Time Data Annotator?

AspectPart Time Data LabelerPart Time Data Annotator
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, data labeling platformsRemote or on-site, data annotation tools
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Search IntentPart Time Data Labeler vs Part Time Data AnnotatorPart Time Data Labeler vs Part Time Data Annotator

Both roles involve preparing data for machine learning models, with similar skills and work environments. The main difference lies in terminology used by employers and platforms, but they often refer to the same tasks of labeling or annotating data to improve AI systems.

What are the most commonly searched types of Data Labeler jobs?

The most popular types of Data Labeler jobs are:

What states have the most Part Time Data Labeler jobs?

States with the most job openings for Part Time Data Labeler jobs include:

What are popular job titles related to Part Time Data Labeler jobs?

For Part Time Data Labeler jobs, the most frequently searched job titles are:

Part Time Data Labeler jobs near you

AI Data Specialist - Flexible Hours

Remote

Innodata Inc.
IT Services • 501 - 1,000 employees
Learn more about Innodata Inc.external

$15/hr

Full-time, Part-time

Re-posted 20 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

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

Hours and flexibility

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