Generative AI Specialist

Generative AI Specialist
- Bilingual (French and English) Fully Remote within Canada (excluding Quebec) Part-Time; INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider‐of‐choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high‐security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy‐to‐use, high‐quality platforms. At Innodata, we're partnering with the world's leading technology companies to build the future of generative AI and large language models (LLMs). You'll join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is a part‐time, remote, flexible, project‐specific opportunity designed for those who want to make a real impact—on their own 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. Evaluation: 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. Content Quality: Evaluating the perceived quality and/or appropriateness of content. Content Understanding: Data Augmentation: 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. identifying gaming videos; identifying branded content. Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system. Relevance Evaluation: 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. Producing concise summaries of longer pieces of text or data. Similarity Evaluation: Projects where content is compared in order to drive a determination. Transcription: Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Data Collection: 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. 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 and French. Salary Rate – $18‐$24 CAD per hour. Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist. 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 com and consider reporting it to the FTC at ReportFraud.ftc.gov.