STEM Specialist

Innodata (NASDAQ : INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML / AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.

About the Role

At Innodata , we partner with the world’s leading technology companies to build the next generation of generative AI and large language models (LLMs). We are seeking smart, detail-oriented, and curious Language Specialists with native-level fluency in Portuguese to help shape how AI understands and uses language.

This is a unique opportunity for writers, editors, and linguists to contribute to the forefront of AI innovation. You’ll be instrumental in teaching LLMs how to think, reason, and communicate with greater fluency and human-like nuance.

Job Title : Language Specialist – LLM Programs (Full time)

Language Requirement : Native-level fluency in Spanish language

Key Responsibilities :

• Creating training data sets for AI models that will help improve their accuracy, fluency, coherence and / or voice
• Annotating data to help AI models align with human values
• Analyzing and improving the grammar, syntax, and sentence structure of both expert-generated training data and AI model-generated text to ensure it adheres to linguistic rules and conventions
• Collaborating closely with cross-functional teams, including data scientists, researchers, and software engineers to refine and iterate data sets
• Contributing to evolving specifications for AI-model training and data recipes
• Navigating a dynamic environment and adapting to shifting guidelines and flexible priorities

Requirements

Assessment :

Candidates must pass our project-specific assessments (2) designed to evaluate their language proficiency and analytical abilities