Generative AI Associate - Flexible Hours

Generative AI Associate - Flexible Hours 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. 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 a 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. 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 over‑fitting and increase dataset diversity. Reviewing data and identifying whether 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 (e.g., identify clickbait, gaming videos, 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 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 (advanced degrees such as Master’s or Ph.D. strongly preferred). Professional or expert level proficiency (C1/C2) in English. Expected hourly salary range: $15 per hour, based on experience, skills, and qualifications. Accepted file types: pdf, doc, docx, txt, rtf. As set forth in Innodata Inc.’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr Innodata