Innodata: Generative AI Associate
Innodata (Nasdaq: INOD) is a global data engineering company enabling the responsible advancement of artificial intelligence (AI) by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We offer a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters, building on our 36+ year legacy of delivering high-quality data and outstanding customer outcomes.
Scope Of The Role
We are partnering with the world's leading technology companies to build the future of generative AI and large language models (LLMs). We seek smart, savvy, and curious Generative AI Specialists to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is a part-time, remote, flexible, project-specific opportunity, not a traditional full-time role. It's designed for individuals who want to make a real impact on their own schedule. Whether you're a writer, linguist, educator, researcher, or passionate about language and logic, this role allows you to contribute to cutting-edge AI development while maintaining control over your time.
You will help LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. This is a chance to shape the intelligence behind tomorrow's technology.
This is more than just a gig; it's a rare opportunity to help shape the future of AI from anywhere in the world, on your own terms.
What You'll Own
- Rating and assessing the performance of AI models or algorithms based on their output or behavior using evaluative questions.
- Labeling specific 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 or trend.
- Creating additional training data for machine learning models by applying transformations to original data (e.g., modifying images, generating new text, altering audio/video signals) to reduce overfitting and increase dataset diversity.
- Reviewing data to identify whether a product feature works as intended based on project guidelines.
- Labeling model outputs to identify specific characteristics of content (e.g., clickbait, gaming videos, branded content).
- Ordering or ranking items based on specified preferences or criteria.
- Creating prompts or questions to generate responses from language models or AI systems.
- Evaluating the relevance of content based on a defined relevancy scale.
- Generating responses to prompts or questions using a language model or AI system.
- Rewriting existing text to improve clarity, style, and adherence to guidelines while preserving the original meaning.
- Producing concise summaries of longer text or data.
- Converting spoken language or audio content into written text.
- Translating text or spoken language from one language to another.
- Gathering and compiling various forms of data (text, images, videos, audio) for training, evaluating, or fine-tuning AI models.
You'll Thrive In This Role If You Have
- A Bachelor's degree or higher in a humanities specialization is required. Advanced degrees (Master's or PhD) are strongly preferred.
- Professional or Expert level proficiency (C1/C2) in English.
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. For more information, visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.
If you believe you've been targeted by a recruitment scam, please report it to Innodata at [email protected] and consider reporting it to the FTC at ReportFraud.ftc.gov.