Job Title: Language Specialist
Location: Canada – Remote (excl. Quebec)
Languages: English and Spanish
Who we are:
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 the AI technology solutions
provider-of-choice to 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 clean and optimized digital data to all industries. Innodata offers a powerful
combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 3,000 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’re working on its next generation by helping clients expand the possibilities of what
Large Language Models can achieve. And now, we’re looking for smart, savvy, and curious
Language Specialists to join our team.
This is the role that writers and linguists dream about: you’ll be teaching the next generation of
Large Language Models about what makes language special. We’re training generative AI in how to
think, not just how to write.
This isn’t just a job: it’s a once-in-a-lifetime opportunity to work on the frontlines of generative AI.
There’s nothing more cutting-edge than this. Joining us means becoming an integral member of a
global team shaping a high-quality, user-centric AI knowledge model that will be the foundation for
the next wave of innovation in artificial intelligence. Keen to learn more?
What you’ll be doing:
As a Language Specialist on our GenAI team, you will be joining a truly global team of subject
matter experts across a wide variety of disciplines and AI engineers and will be entrusted with a
range of responsibilities. This will include:
• Creating training data sets for AI models that will help improve its 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 on the AI models.• Contributing to evolving specifications for AI-model training and data recipes.
• Navigating a dynamic environment and adapting to shifting guidelines and flexible
priorities.
• Achieve target KPIs, including daily job count, average handle time per job, and
specified production hours