Innodata Inc.

Generative AI Specialist – Humanities, English, French

Innodata Inc.

full-time

Posted on:

Location Type: Remote

Location: Remote • Alabama, Arizona, Connecticut, Florida, Hawaii, Idaho, Illinois, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Minnesota, Mississippi, Missouri, Montana, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming • 🇺🇸 United States

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Salary

💰 $54,000 per year

Job Level

Mid-LevelSenior

About the role

  • Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior.
  • Annotation Labeling: Labeling elements of a piece of 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.
  • Grading: Reviewing data and identifying whether or not a product feature works as intended.
  • 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 for AI models.
  • Relevance Evaluation: Evaluating the relevance of content based on a relevancy scale.
  • Response Generation: Generating responses to prompts using a language model.
  • Response Rewrite: Rewriting existing text while preserving the original meaning.
  • Response Summarization: Producing concise summaries of longer pieces of text.
  • Similarity Evaluation: Comparing content for determination.
  • Transcription: Converting spoken language into written text.
  • Translation: Converting text from one language to another.
  • Data Collection: Gathering and compiling various forms of data.

Requirements

  • 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
Benefits
  • Flexible work arrangements
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI model evaluationannotation labelingclassificationcontent quality evaluationdata augmentationgradingpreference rankingprompt generationresponse generationtranslation
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