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Text Dataset Specialist Jobs (NOW HIRING)

Innodata Inc.

AI Data Specialist - Flexible Hours

$15/hr

... dataset diversity. * Reviewing data and identifying whether or not a product feature works as ... Rewriting existing text while preserving the original meaning, often to improve clarity or style ...

Innodata Inc.

AI Workflow Specialist - Flexible Hours

$15/hr

... dataset diversity. * Reviewing data and identifying whether or not a product feature works as ... Rewriting existing text while preserving the original meaning, often to improve clarity or style ...

Innodata Inc.

AI Training Specialist - Flexible Hours

$15/hr

... dataset diversity. * Reviewing data and identifying whether or not a product feature works as ... Rewriting existing text while preserving the original meaning, often to improve clarity or style ...

Innodata Inc.

AI Content Specialist - Flexible Hours

$15/hr

... dataset diversity. * Reviewing data and identifying whether or not a product feature works as ... Rewriting existing text while preserving the original meaning, often to improve clarity or style ...

Innodata Inc.

AI Content - Flexible Hours

$15/hr

We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global ... Rewriting existing text while preserving the original meaning, often to improve clarity or style ...

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Text Dataset Specialist information

What is the difference between Text Dataset Specialist vs Data Annotator?

AspectText Dataset SpecialistData Annotator
Required CredentialsBachelor's in Computer Science, Data Science, or related field; familiarity with NLP toolsHigh school diploma or equivalent; training in annotation tools
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or on-site; focused on annotation tasks
Industry UsageAI, machine learning, NLP projectsData labeling for AI and machine learning models
Search & Comparison IntentUnderstanding roles in data preparation for NLPClarifying annotation responsibilities in data projects

The Text Dataset Specialist and Data Annotator roles both involve working with data for AI and NLP projects. The specialist typically has a background in data science and handles more complex dataset management, while the annotator focuses on labeling data. Both roles are essential in preparing high-quality data for machine learning models, but they differ in scope and required expertise.

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Infographic showing various Text Dataset Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

AI Data Specialist - Flexible Hours

Innodata Inc.

Remote

$15/hr

Full-time, Part-time

Re-posted 11 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 247 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

Hours and flexibility

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