[Remote] Generative AI Associate (English)

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. Innodata Inc. is a leading data engineering company that provides AI technology solutions to major technology firms. They are seeking a Generative AI Associate to evaluate and improve AI models, focusing on language and reasoning, through various tasks such as evaluation, annotation, and content generation.ResponsibilitiesEvaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questionsAnnotation Labeling: Labeling elements of a piece of content rather than the content as a wholeClassification: Assigning predefined categories or labels to itemsContent Quality: Evaluating the perceived quality and/or appropriateness of contentContent Understanding: Generating labels to advance understanding of a concept, trend etcData 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 diversityGrading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelinesIdentification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded contentPreference Ranking: Ordering or ranking items based on a set of preferences or criteriaPrompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI systemRelevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.)Response Generation: Generating responses to prompts or questions using a language model or other AI systemResponse Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelinesResponse Summarization: Producing concise summaries of longer pieces of text or dataSimilarity Evaluation: Projects where content is compared in order to drive a determinationTranscription: Converting spoken language or audio content into written textTranslation: Converting text or spoken language from one language to anotherData 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 contentSkillsA Bachelor's degree or higher is requiredProfessional or Expert level proficiency (C1/C2) in EnglishApplicants must be legally authorized to work in the United States at the time of hireAdvanced degrees are strongly preferred (Master's or PhD)Company Overview(NASDAQ: INOD) Innodata is a global data engineering company. We believe that data and AI are inextricably linked. It was founded in 1988, and is headquartered in Hackensack, New Jersey, USA, with a workforce of 5001-10000 employees. Its website is http://www.innodata.com.



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