Qureos Mentor

Innodata Inc.

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 Open to students &amp; recent graduate
 
 
 
 
 Location:
 
 Remote (Open to candidates based in South Carolina, United States
 
 
 
 Job Type:
 
 Part-time | Freelance | Project-based
 
 
 
 
 
 At Innodata, we collaborate with some of the world&rsquo;s leading technology companies to build the future of Generative AI and Large Language Models (LLMs).
 
 
 We&rsquo;re looking for curious, detail-oriented, and language-savvy individuals to join our global contributor network as part of our SME on Demand program.
 
 
 
 This is a flexible, remote opportunity&mdash;perfect for students, freelancers, researchers, educators, and professionals who want to contribute to cutting-edge AI development while working on their own schedule.
 
 
 
 
 You won&rsquo;t just be working
 
 with
 
 AI&mdash;you&rsquo;ll be helping shape how it thinks, learns, and responds.
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Evaluate and rate AI-generated outputs based on quality, accuracy, and relevance
 </li>
 <li>
 Label and categorize different types of content
 </li>
 <li>
 Assess appropriateness and usefulness of responses
 </li>
 <li>
 Create prompts to test and improve AI systems
 </li>
 <li>
 Rank outputs based on defined guidelines
 </li>
 <li>
 Rewrite, paraphrase, and summarize content
 </li>
 <li>
 Translate or transcribe content (if applicable)
 </li>
 <li>
 Generate additional training data to improve model performance
 </li>
 <li>
 Identify issues in AI responses and provide structured feedback
 </li>
 <li>
 Work on projects involving text, audio, video, or image data
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 High School Diploma or higher
 </li>
 <li>
 Professional/Expert English proficiency (C1/C2)
 </li>
 <li>
 Strong analytical and comprehension skills
 </li>
 <li>
 Attention to detail and ability to follow guidelines
 </li>
 <li>
 Interest in AI, language, or content evaluation
 </li>
 <li>
 Ability to work independently in a remote setup
 </li>
 </ul>
 
 
 
 
 📩 How to Apply
 
 
 If this sounds interesting, apply now by completing a short registration form
 
 
 OR drop a resume - nverma@innodata.com
 
</div>

AI Data Annotator - Remote

<div>
 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&rsquo;re partnering with the world&rsquo;s leading technology companies to build the future of generative AI and large language models (LLMs). We&rsquo;re on the lookout for smart, savvy, and curious Data Annotators 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&rsquo;s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact&mdash;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&rsquo;ll be helping LLMs learn the intricacies of language and reasoning&mdash;not just how to write, but how to think. If you&rsquo;ve ever dreamed of shaping the intelligence behind tomorrow&rsquo;s technology, this is your chance.
 
 
 This is more than just a gig&mdash;it&rsquo;s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
 
 
 
 What You&rsquo;ll Own
 
 
 
 <ul>
 <li>
 Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
 </li>
 <li>
 Labeling elements of a piece of content rather than the content as a whole.
 </li>
 <li>
 Assigning predefined categories or labels to items.
 </li>
 <li>
 Evaluating the perceived quality and/or appropriateness of content
 </li>
 <li>
 Generating labels to advance understanding of a concept, trend etc.
 </li>
 <li>
 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.
 </li>
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 Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
 </li>
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 Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
 </li>
 <li>
 Ordering or ranking items based on a set of preferences or criteria.
 </li>
 <li>
 Creating prompts or questions that will be used to generate responses from a language model or other AI system.
 </li>
 <li>
 Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
 </li>
 <li>
 Generating responses to prompts or questions using a language model or other AI system.
 </li>
 <li>
 Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
 </li>
 <li>
 Producing concise summaries of longer pieces of text or data.
 </li>
 <li>
 Converting spoken language or audio content into written text.
 </li>
 <li>
 Converting text or spoken language from one language to another.
 </li>
 <li>
 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.
 
 
 </li>
 </ul>
 
 You&rsquo;ll Thrive In This Role If You Have
 
 
 
 <ul>
 <li>
 A High School Diploma or higher is required.
 </li>
 <li>
 Professional or Expert level proficiency (C1/C2) in English
 
 
 </li>
 </ul>
 
 
 The expected hourly salary range for this position is $9 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&rsquo;s guide at
 
 https://consumer.ftc.gov/articles/job-scams.
 
 
 
 If you believe you&rsquo;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
 
 .
 
</div>

Data Annotation Specialist

AI Annotation Specialist

Join Innodata Inc. and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Innodata Inc.

About Company

AI Data Annotator - Remote

Data Annotation Specialist

Data Annotation Specialist

AI Annotation Specialist