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Part Time Remote Ai Annotator Jobs (NOW HIRING)

Innodata Inc.

Generative AI Associate

$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 ...

New

LIBERTY DENTAL

$74 - $82/hr

Employment Type: Part-Time, Non-Exempt Work Arrangement: Fully Remote Schedule: 20 hours per week ... Experience with AI-assisted review technologies such as Overjet or similar solutions. * Exposure to ...

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Part Time Remote Ai Annotator information

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

AspectPart Time Remote Ai AnnotatorData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, 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 data annotation and are commonly used in AI development. The main difference is that a Part Time Remote Ai Annotator often focuses specifically on annotating data for AI training in a flexible, remote setting, while a Data Labeler may have a broader scope in data labeling tasks. Both positions require similar skills and are prevalent in the tech industry.

What are common challenges faced by part time remote AI annotators and how can they be managed?

Part-time remote AI annotators often encounter challenges such as maintaining focus during repetitive tasks, meeting tight deadlines, and ensuring annotation accuracy. Working remotely also requires strong self-discipline and effective communication with project managers and team members, who may be in different time zones. To manage these challenges, annotators can set structured work hours, use productivity tools, and actively participate in team discussions or training sessions to clarify guidelines and address uncertainties.

What skills and qualifications are needed to thrive as a part time remote AI annotator?

To succeed as a Part Time Remote AI Annotator, you need keen attention to detail, strong analytical abilities, and a good grasp of data labeling concepts, often supported by a high school diploma or equivalent. Familiarity with annotation tools, content management systems, and basic computer literacy is typically required. Excellent communication, reliability, and the ability to follow instructions independently are standout soft skills in this role. These capabilities ensure high-quality data labeling, which is critical for the effective training and accuracy of AI models.

What is a part time remote AI annotator?

Part Time Remote AI Annotators are individuals who work from home or any remote location to label, categorize, or tag data such as images, videos, audio, or text that will be used to train artificial intelligence (AI) models. They typically work flexible, part-time hours and use specialized software or online platforms provided by companies to ensure data is accurately annotated. This role is crucial for improving machine learning algorithms and can include tasks like identifying objects in images, transcribing audio, or reviewing chatbot conversations. Most positions require attention to detail, basic computer skills, and the ability to follow specific guidelines.
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Part Time Remote Ai Annotator jobs near you
Infographic showing various Part Time Remote Ai Annotator job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Generative AI Associate

Innodata Inc.

Remote

$15/hr

Full-time, Part-time

Posted yesterday

New

Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

161st of 242 rated software companies

Job description

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
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.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.
If you believe you've been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.

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