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Role Description

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 Be Doing

• Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
• Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.
• 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 by applying transformations to the original data.
• Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
• 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 that will be used to generate responses from a language model or other AI system.
• Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale.
• Response Generation: Generating responses to prompts or questions using a language model or other AI system.
• Response Rewrite: Rewriting existing text while preserving the original meaning.
• Response Summarization: Producing concise summaries of longer pieces of text or data.
• Similarity Evaluation: Projects where content is compared in order to drive a determination.
• Transcription: Converting spoken language or audio content into written text.
• Translation: Converting text or spoken language from one language to another.
• Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models.

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 and Russian.

Requirements

• Applicants must be legally authorized to work in the United States at the time of hire.
• Innodata is unable to provide visa sponsorship now or in the future for this position.

Benefits

• Salary rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.