Generative AI Associate

Overview

Generative AI Associate - Flexible Hours — Remote (Indiana).

Innodata (Nasdaq: INOD) is a global data engineering company. We enable responsible advancement of AI by providing data, evaluation frameworks, and human expertise to build trusted AI systems  offer solutions, platforms, and services for Generative AI / AI builders and adopters, with a 36+ year legacy of delivering high-quality data and outcomes.

Scope of the Role:
At Innodata, we partner with leading technology companies to build the future of Generative AI and large language models (LLMs). We are seeking smart, curious Generative AI Specialists to join our global contributor community as part of our SME on Demand program. This is a part-time, remote, flexible, project-specific opportunity designed for those who want to make an impact on their schedule.

Whether you are a writer, linguist, educator, researcher, or passionate about language and logic, you can contribute to cutting-edge AI development while maintaining control over your time.

You’ll be helping LLMs learn language and reasoning—not just how to write, but how to think. If you’ve dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is a flexible opportunity to help shape AI from anywhere in the world, on your terms.

• Rating/assessing the performance of AI models or algorithms based on output or behavior through evaluative questions.
• Labeling elements of content and assigning predefined categories or labels.
• Evaluating content quality and appropriateness; generating labels to advance understanding of concepts or trends.
• Creating additional training data by transformations (e.g., paraphrasing, summarization, image/text/audio alterations) to diversify datasets.
• Reviewing data and determining whether a product feature works as intended based on guidelines.
• Labeling model outputs to identify content type (e.g., clickbait, branded content).
• Ordering or ranking items based on defined criteria.
• Creating prompts or questions for language models or AI systems.
• Evaluating content relevance on a relevance scale (e.g., 1-3 or 1-5).
• Generating responses to prompts or questions using AI systems.
• Rewriting text to preserve meaning while improving clarity and adherence to guidelines.
• Producing concise summaries of longer text or data.
• Converting spoken language or audio to written text and translating between languages.
• Gathering and compiling data for training, evaluation, or fine-tuning of AI models.

• Bachelor’s degree or higher in a humanities specialization is required; advanced degrees (Master’s or PhD) strongly preferred.
• Professional or expert-level proficiency in English (C1/C2).