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Remote Ai Annotator 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 ... Rating/assessing the performance of AI models or algorithms based on their output or behavior ...

Mercor

Hindi AI Session Annotator

New York, NY · Remote

$12 - $18/hr

AI Session Annotator (Hindi) Type: Contract Compensation: $12-$18/hour Location ... Remote Role Responsibilities * Review recorded sessions where users interact with an AI assistant ...

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iMerit

Be Seen First

Video Data Annotator

San Jose, CA · Remote

$35/hr

Video Data Annotator Remote (US) | Contractor | Get certified now, work when the project drops iMerit - An EXL Company Robotics AI is having a moment, and it needs sharp eyes to teach it how to see ...

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Remote Ai Annotator information

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$83.5K

$127K

$171K

How much do remote ai annotator jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote ai annotator in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Annotator vs Remote Data Labeler?

AspectRemote Ai AnnotatorRemote Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Both roles involve remote work and data annotation tasks, but Remote Ai Annotators often focus on more specialized annotations for AI training, while Remote Data Labelers may handle broader labeling tasks. The skills and industry usage are similar, making them closely related roles in AI development.

How to become a Remote AI Annotator?

To become a remote AI annotator, candidates typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or platforms. Many positions require a high school diploma or equivalent, and some may prefer prior experience in data labeling or related fields. Applying through online job boards and completing any required training or assessments are common steps to start in this role.

What does a remote AI annotator do?

A remote AI annotator labels and tags data such as images, videos, or text to help train machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working independently with flexible schedules.
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What states have the most Remote Ai Annotator jobs?

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Remote Ai Annotator jobs near you
Infographic showing various Remote Ai Annotator job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Data AI Annotator - Flexible Hours

Innodata Inc.

Remote

$15/hr

Full-time, Part-time

Re-posted 4 days ago

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

166th 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

Hours and flexibility

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