Generative AI Associate Russian Speaking - Flexible Hours

OpenKrill; United States; Hybrid; USD 18,000 - 23,000; Part time

Job summary

Innodata is seeking a Generative AI Specialist to join its SME on Demand program on a part-time, remote basis. You will help AI learn language and reasoning, label data, generate prompts, and create training content while maintaining control over your schedule.

The role supports global AI development, with opportunities to work from anywhere in the world and contribute to cutting-edge generative AI initiatives.

Qualifications

• Bachelor’s degree or higher in a humanities specialization is required; advanced degrees are strongly preferred.

Responsibilities

• Rating/assessing the performance of AI models or algorithms based on output or behavior.
• Labeling elements of content.
• Assigning predefined categories or labels to items.
• Evaluating quality and appropriateness of content.
• Generating labels to advance understanding of a concept or trend.
• Creating additional training data for ML models (transformations to data, paraphrasing, summarization, etc.).
• Reviewing data and checking project guideline compliance.
• Labeling model outputs (e.g., identify clickbait, branded content).
• Ordering or ranking items based on criteria.
• Creating prompts for language models.
• Generating responses to prompts using language models.
• Rewriting existing text to improve clarity and adherence to guidelines.
• Producing concise summaries of text or data.
• Converting speech to text and translating languages.
• Gathering and compiling data for AI training or evaluation.

Skills

English proficiency

Russian proficiency

Education

Bachelor’s degree or higher in humanities

Master’s or PhD preferred

Job description

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:

• 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

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