Data Annotator

<div class="content-intro"><p>Innodata&nbsp;(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.&nbsp;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.&nbsp;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.</p></div><p class="Paragraph SCXW66493682 BCX2"><strong>Scope of the Role:&nbsp;</strong></p> <p class="Paragraph SCXW66493682 BCX2">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 Data Annotators to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.</p> <p class="Paragraph SCXW66493682 BCX2">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.&nbsp;</p> <p class="Paragraph SCXW66493682 BCX2">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.&nbsp;</p> <p class="Paragraph SCXW66493682 BCX2">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.&nbsp;</p> <p class="Paragraph SCXW66493682 BCX2"><strong>What You’ll Own:</strong></p> <ul> <li>Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.&nbsp;&nbsp;</li> <li>Labeling elements of a piece of content rather than the content as a whole.&nbsp;&nbsp;</li> <li>Assigning predefined categories or labels to items.&nbsp;&nbsp;</li> <li>Evaluating the perceived quality and/or appropriateness of content&nbsp;&nbsp;</li> <li>Generating labels to advance understanding of a concept, trend etc.&nbsp;&nbsp;</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.&nbsp;&nbsp;</li> <li class="Paragraph SCXW66493682 BCX2">Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.&nbsp;&nbsp;</li> <li class="Paragraph SCXW66493682 BCX2">Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.&nbsp;</li> <li class="Paragraph SCXW66493682 BCX2">Ordering or ranking items based on a set of preferences or criteria.&nbsp;&nbsp;</li> <li class="Paragraph SCXW66493682 BCX2">Creating prompts or questions that will be used to generate responses from a language model or other AI system.&nbsp;&nbsp;</li> <li class="Paragraph SCXW66493682 BCX2">Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).&nbsp;&nbsp;</li> <li class="Paragraph SCXW66493682 BCX2">Generating responses to prompts or questions using a language model or other AI system.&nbsp;&nbsp;</li> <li class="Paragraph SCXW66493682 BCX2">Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.&nbsp;&nbsp;</li> <li class="Paragraph SCXW66493682 BCX2">Producing concise summaries of longer pieces of text or data.&nbsp;&nbsp;</li> <li class="Paragraph SCXW66493682 BCX2">Converting spoken language or audio content into written text.&nbsp;&nbsp;</li> <li class="Paragraph SCXW66493682 BCX2">Converting text or spoken language from one language to another.&nbsp;&nbsp;</li> <li class="Paragraph SCXW66493682 BCX2">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> <p><strong>You’ll Thrive in This Role If You Have:</strong></p> <ul> <li>A High School Diploma or higher&nbsp;is required.&nbsp;</li> <li>Professional or Expert level proficiency (C1/C2) in English&nbsp;</li> </ul> <p><strong><em>The expected hourly salary range for this position is $9 p/hour, based on experience, skills, and qualifications.</em></strong></p> <p>&nbsp;</p><div class="content-conclusion"><p></p> <p class="x_elementToProof"><em>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&nbsp;</em><a href="https://consumer.ftc.gov/articles/job-scams." target="_blank">https://consumer.ftc.gov/articles/job-scams.</a><em>&nbsp;</em></p> <p class="x_elementToProof"><em>If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at&nbsp;</em><a href="mailto:verifyjoboffer@innodata.com" target="_blank">verifyjoboffer@innodata.com</a><em>&nbsp;and consider reporting it to the FTC at&nbsp;</em><a href="http://reportfraud.ftc.gov/" target="_blank">ReportFraud.ftc.gov</a><em>.</em></p> <p></p></div>