1

Localization Jobs in Quebec (NOW HIRING)

Who We Are 2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company ...

next page

Showing results 1-20

Localization information

See Quebec salary details

$14

$38

$75

How much do localization jobs pay per hour?

As of May 28, 2026, the average hourly pay for localization in Quebec is $38.78, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $48.56 per hour, depending on experience, location, and employer.

What Are Localization Jobs?

Localization jobs include translation work, anthropological study, graphic design, product and user experience testing, market research, and sales. Although translation and localization are different, translation is a key component of localization efforts, and translators are essential to the process. Cultural and sociological research is also important because product developers need to have a strong understanding of the local audience. Graphic designers play an essential role because they need to localize graphics so that they will be intelligible to distinct audiences. For example, a roadmap designed for Koreans may appear different than the same roadmap for Japanese readers.

What are the key skills and qualifications needed to thrive in Localization, and why are they important?

To thrive in Localization, you need strong linguistic proficiency in at least two languages, cultural fluency, and a background in translation or localization studies. Familiarity with computer-assisted translation (CAT) tools, localization management systems, and industry-standard file formats is typically required. Attention to detail, cross-cultural communication, and adaptability are crucial soft skills for ensuring content resonates with target audiences. These abilities are essential for delivering accurate, culturally appropriate translations that maintain the integrity and effectiveness of the original content across different markets.

What types of collaboration are common for localization professionals within a company?

Localization professionals frequently work closely with product managers, developers, designers, and marketing teams to ensure that content is accurately adapted for different regions. This collaborative approach helps address linguistic, cultural, and technical challenges early in the development process, ensuring a seamless user experience across markets. Effective communication and project management are key, as localization specialists often coordinate with both in-house and external translation vendors to meet tight deadlines and maintain consistency.

What is localization in the context of jobs?

Localization refers to the process of adapting content, products, or services to meet the language, cultural, and regulatory requirements of a specific target market or region. Professionals in localization work on translating text, modifying images, adjusting formats, and ensuring that everything resonates with the local audience. This process goes beyond simple translation, involving cultural adaptation and sometimes technical modifications to ensure the content is fully accessible and relevant to the intended users.

What is the difference between Localization vs Translation?

AspectLocalizationTranslation
DefinitionAdapting content to a specific locale, including cultural, linguistic, and functional adjustments.Converting text from one language to another without altering content for cultural context.
Skills & CertificationsLanguage proficiency, cultural knowledge, localization tools (e.g., CAT tools), sometimes certifications in localization.Language proficiency, translation certifications, familiarity with translation software.
Work EnvironmentMultilingual teams, localization projects for software, websites, products.Translation agencies, freelance, document translation for various industries.
Industry UsageCommon in software, gaming, marketing, and product localization.Used across legal, medical, technical, and general document translation.

Localization involves adapting content for a specific locale, considering cultural nuances, while translation focuses solely on converting text from one language to another. Both roles require language skills, but localization demands additional cultural and technical knowledge to ensure content resonates with the target audience.

What are popular job titles related to Localization jobs in Quebec? For Localization jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Localization jobs in Quebec look for? The top searched job categories for Localization jobs in Quebec are:
What cities in Quebec are hiring for Localization jobs? Cities in Quebec with the most Localization job openings:
Infographic showing various Localization job openings in Quebec as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 7% Part Time, 2% Temporary, and 6% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $80,655 per year, or $38.8 per hour.

Data Engineering Team Lead (Localization & Language Data)

Alexa Translations

Montreal, QC • On-site

Full-time

Medical, Dental, Vision

Posted 16 days ago


Job description

About Alexa Translations
Alexa Translations provides A.I.-powered translations for the largest and most prestigious legal, financial, and government institutions. Our unique combination of advanced technology and professionally certified translators deliver tailored solutions with unparalleled quality. Thanks to over two decades of award-winning client success, you can rely on us as a true extension of your team.

Our core values: 

  • Innovation
  • Dedication
  • Fanatical commitment to quality and service
  • Resourcefulness
  • Collaboration
Role Overview

As the Data Engineering Team Lead, you will be the technical lead and people manager for a specialized team at the intersection of Big Data, Global Communications, and Generative AI. You will oversee the development of our enterprise Data Warehouse, ensuring that our language assets (TMs, Glossaries, and Metadata) are structured, searchable, and optimized for human translators, machine translation searches and machine learning models.

Beyond traditional data engineering, you will collaborate with multiple teams on the design of the platform interface and the indexing strategies that power our next-generation localization workflows. Your unique value lies in bridging the gap between high-level data architecture, the nuanced translation domain, and the emerging requirements of Retrieval-Augmented Generation (RAG).

Key Responsibilities1. Data Strategy & Warehousing
  • Architecture: Define the roadmap for our data warehouse, ensuring high availability and performance for massive multilingual datasets.
  • Data Cataloging & Governance: Implement robust cataloging solutions to ensure data lineage and "discoverability" across the organization.
  • Interface Development: Lead the creation of a user-centric interface that allows stakeholders to interact with, query, and extract data from the platform.
2. Translation & Localization Domain
  • Linguistic Asset Management: Manage the lifecycle of Translation Memories (TMs) and Terminology Databases.
  • Systems Expertise: Optimize integrations between our data platform and CAT tools and TMS systems (e.g., Phrase, Trados, MemoQ).
  • Domain Integration: Ensure data pipelines respect the nuances of translation metadata, XLIFF structures, and regional variants.
3. ML & GenAI Integration
  • RAG & Indexation: Oversee the creation and maintenance of Vector Databases and semantic search indexes to support Retrieval-Augmented Generation for automated translation and content creation.
  • Data Preparation for LLMs: Architect pipelines that clean, chunk, and format localization data for fine-tuning or prompting Large Language Models (LLMs).
  • Quality & Evaluation: Support the implementation of automated quality estimation (QE) and LLM-based evaluation metrics for translated content.
4. Leadership & Mentorship
  • Team Management: Lead a cross functional team of Linguists, Software Developers, Devops and Localization Engineers, providing technical guidance and mentorship.
  • Cross-functional Collaboration: Act as the liaison between Data, Localization, and AI/ML Research teams.
Required Qualifications
  • Experience: 5+ years in Data Engineering, with at least 2 years in a leadership or senior capacity.
  • Technical Stack: Proficiency in SQL, Python, ETL Pipelines, and cloud data platforms (e.g., AWS S3 Data Lakes, AWS Athena, AWS Redshift, AWS Glue).
  • AI/ML Fundamentals: Solid understanding of the GenAI lifecycle, specifically regarding how data is indexed for RAG (e.g., Pinecone, Milvus, or Qdrant).
  • Domain Knowledge: Understanding of the localization industry, including experience with TMX, TBX, and CAT tool workflows.
  • Product Mindset: Experience building and deploying production ready internal tools or interfaces (e.g., Streamlit, React) to democratize data access.
Preferred Skills
  • Familiarity with embedding models and semantic similarity scoring.
  • Knowledge of Data Privacy (ISO 27001, GDPR) specifically regarding PII in linguistic datasets.

Benefits & Perks You’ll Love:

  • Comprehensive Health Insurance: Including vision, dental, complementary therapies, and support for your overall well-being.
  • Your Birthday Off: We celebrate your special day!
  • 6 Personal/Sick Days: Take the time you need for your health or life’s unexpected moments.
  • Work-Ready Equipment: Get the tools you need to succeed, provided upon request.
  • Hybrid Work Model: Enjoy the best of both worlds with a mix of in-office collaboration and remote flexibility.
  • Learning & Growth Opportunities: Training and resources tailored to your role and department.
  • Supportive & Collaborative Team Culture: Work alongside team members who genuinely have your back
  • Team Recognition & Action Awards: Celebrate wins and contributions in meaningful ways.
  • Employee Referral Program: Earn rewards for bringing amazing talent to our team.
#Li-hybrid 

Powered by JazzHR

U6nK4xOgxb