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Generative AI Specialist

Job in Norfolk, Madison County, Nebraska, 68701, USA
Listing for: Innodata Inc.
Full Time, Part Time position
Listed on 2026-07-03
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Evaluation, Data Annotation/ AI Labeling, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 15 USD Hourly USD 15.00 HOUR
Job Description & How to Apply Below
Position: Generative AI Specialist - Flexible Hours

Generative AI Specialist - 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  provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters.

In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

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.

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.

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 (e.g., modifying images, generating new text, altering audio/video signals) 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 (e.g., 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 to improve clarity, 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 (e.g., text, images, videos, audio).

You’ll Thrive in This Role If You Have:

  • A Bachelor’s degree or higher in a humanities specialization (required). Advanced degrees such as Master’s or PhD are strongly preferred.
  • Professional or expert level proficiency (C1/C2) in English.

Expected hourly salary: $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.

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