Generative AI Associate - Flexible Hours

Innodata Inc.; United States; Hybrid; USD 17,908 - 23,419; Part time

Job summary

Innodata Inc. is seeking a Generative AI Associate to join our SME on Demand network on a part-time, remote basis with flexible hours. This role supports the training and evaluation of AI models from anywhere in the United States.

You will label data, generate training examples, and help evaluate model outputs, shaping the future of AI development on your own schedule. A humanities background and strong English skills are required.

Qualifications

• Bachelor's degree or higher in humanities required.
• Advanced degrees strongly preferred (Master's or PhD).
• Professional or Expert level proficiency in English (C1/C2).

Responsibilities

• Rating/assessing the performance of AI models or algorithms based on their output or behavior using evaluative questions.
• Labeling elements 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, or example.
• Creating additional training data through transformations (text, images, audio/video) to diversify datasets.
• Reviewing data to ensure features align with project guidelines.
• Labeling model outputs to identify content relevance or quality (e.g., clickbait, branded content).
• Ordering or ranking items based on specified criteria.
• Creating prompts for language models or AI systems.
• Generating responses to prompts or questions using a language model.
• Rewriting existing text to improve clarity and adherence to guidelines.
• Producing concise summaries of longer texts or data.
• Converting spoken language to written text and translating between languages.
• Gathering and compiling data for training, evaluation, or fine-tuning AI models.

Skills

English proficiency (C1/C2)

Education

Bachelor's degree in humanities

Master's or PhD preferred

Job description

Generative AI Associate - Flexible Hours

Remote - United States

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 at scale. We 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 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. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting‑edge AI development while maintaining control over your time.

You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. 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, 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.
• 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. Examples: identify clickbait; identifying gaming videos; identifying 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, often to improve clarity or 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 the AI models. This may include text, images, videos, audio files, or other types of digital content.

Qualifications

• 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.

The expected hourly salary range for this position is $15 per hour, based on experience, skills, and qualifications.

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.