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Innodata Inc.

Verified Job Source

Train and Deploy Industry-Leading Generative and Traditional AI

Ridgefield Park, New Jersey

Business Consulting and Services
5,001+ people

About

(NASDAQ: INOD) Innodata is a global data engineering company. We believe that data and AI are inextricably linked. That’s why we’re on a mission to help the world’s leading technology companies and enterprises drive Generative and Traditional AI innovation. We provide a range of transferable solutions, platforms, and services for AI builders and adopters. In every relationship, we honor our 35+ year legacy delivering the highest quality data and outstanding outcomes for our customers.

Open positions

Generative AI Associate - Flexible Hours

Remote · Canada

The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language skills. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.

Generative AI Associate - Flexible Hours

Remote · Idaho, United States

The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.

Data AI Annotator - Flexible Hours

Remote · Idaho, United States

The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio or language content to improve LLM reasoning.

Generative AI Associate

Remote · Canada

You will be rating and assessing the performance of AI models, labeling content, and generating training data for machine learning models. Additionally, you will create prompts and evaluate the relevance of content based on specific criteria.

Generative AI Specialist - Red Team (English and French)

Remote · Canada

The role involves evaluating, annotating, and classifying AI model outputs to improve language and reasoning capabilities. Specialists will also perform data augmentation, prompt generation, and content quality assessments to support the development of large language models.