Generative AI Associate(PHD) - Flexible Hours

Innodata Inc.; United States; Hybrid; USD 34,000 - 41,000; Part time

Job summary

Innodata Inc. is a global data engineering company enabling responsible AI advancement. We seek a Generative AI Associate (PhD) for a remote, flexible, project-based role in the United States. You’ll train and evaluate LLMs, label data, and create prompts, with a strong emphasis on language and logic.

This is a part-time, on-demand opportunity designed for experts who want flexible scheduling and real impact, contributing to cutting-edge AI development from anywhere in the world.

Qualifications

• PhD required for the role.
• Professional or Expert level proficiency in English (C1/C2).
• Experience with labeling, evaluating, and training data for AI models.
• Ability to generate prompts and manage content quality.

Responsibilities

• Rating and assessing AI model performance using evaluative questions.
• Labeling content elements and assigning predefined categories.
• Generating labels to advance understanding of concepts or trends.
• Creating additional training data via transformations (text/image/audio).
• Reviewing data per project guidelines for feature validation.
• Labeling model outputs (e.g., identify clickbait or branded content).
• Ordering or ranking items by criteria, and generating prompts for LLMs.
• Producing concise summaries and transforming content (rewrite, paraphrase).
• Transcribing or translating spoken language and data gathering for training.

Skills

PhD required

Content labeling

Data labeling

Evaluating AI outputs

Prompt generation

Text rewriting

Summarization

Language translation

Data collection

Education

PhD

Job description

Generative AI Associate(PHD) - 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.

You’ll Thrive in This Role If You Have:

• PHD is required
• Professional or Expert level proficiency (C1/C2) in English

The expected hourly salary range for this position is $25-$30 p/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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