Language Specialist (Japanese bilingual)

Job Title: Language Specialist (Japanese bilingual)

Location:  Canada Remote (Except British Columbia and Quebec)

Languages: English & Japanese

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

Requirements

What we need you to bring:

• Excellent writing skills
• Strong understanding of grammar, syntax, and semantics
• Advanced degree in Japanese and English
• Bachelor’s degree (completed) is the minimum requirement; Master’s or PhD preferred
• Ability to edit and improve technical communication across a wide variety of technical fields
• Creative thinker
• Strong attention to detail
• Well-honed internet research skills
• Ability to embrace diverse teams
• Adaptability to thrive in a dynamic environment, with the agility to adjust to evolving guidelines and fluid priorities

What we offer:

• Fully remote work environment
• Collaborative culture – and key tools enabling it
• Competitive compensation package
• Health, Dental & Vision benefits
• Employee Assistance Program (EAP)
• Career Development & Progression opportunities
• Paid Vacation & Personal Days; and Sick days

The salary range for this position is between CAD $48,000 to $55,000 annually. Actual compensation will be determined based on various factors including qualifications, experience, and internal equity.