Innodata Inc.

Generative AI Specialist – Humanities SME

Innodata Inc.

part-time

Posted on:

Origin:  • 🇺🇸 United States • Alabama, Arizona, California

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Salary

💰 $30 per hour

Job Level

SeniorLead

Tech Stack

SaltStack

About the role

  • Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
  • Annotation Labeling: Labeling elements of a piece of content rather than the content.
  • Classification: Assigning predefined categories or labels to items.
  • Content Quality: Evaluating the perceived quality and/or appropriateness of content
  • Content Understanding: Generating labels to advance understanding of a concept, trend etc.
  • 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.
  • Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
  • Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something.
  • Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.
  • 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.).
  • Response Generation: Generating responses to prompts or questions using a language model or other AI system.
  • Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
  • Response Summarization: Producing concise summaries of longer pieces of text or data.
  • Similarity Evaluation: Projects where content is compared in order to drive a determination.
  • Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models.

Requirements

  • A Doctorate degree is required; fourth year Doctorate Students can be considered on a case-by-case basis scenario.
  • Subject Mater Expertise in fields such as: Linguistics, Mathematics, Physics, Computer Science, Chemistry, Applied Mathematics, Electrical Engineering, Biology, Medicine, Genetics, History, Economics, Ecology, Artificial Intelligence, Musicology, Philosophy, Neuroscience, Law, Art History, Biochemistry, Astronomy, Classics, Chess, Chemical Engineering, Microbiology, Classical Ballet, Materials Science, Poetry, Quantum Mechanics, Aerospace Engineering, Civil Engineering, Mechanical Engineering, Geography, Robotics, Data Science, Molecular Biology, Statistics, Immunology, Education, Logic, Computational Biology, Psychology, English Literature, Machine Learning, Puzzle, Cultural Studies, Marine Biology, Archaeology, and Biophysics
  • Must be at least 18 years of age and legally eligible to work in the United States (implied by application question)
  • Willingness to work up to 25 hours weekly, part-time, no hours guaranteed.