ZipRecruiter

Log In

1

Document Translation Jobs in Quebec (NOW HIRING)

Apertera

Generative AI Engineer

Montreal, QC · On-site

You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and ... Document code, algorithms, and experimental results, following best practices for reproducibility ...

Orthosoft Inc.

Systems Assoc Designer II

Montreal, QC · Hybrid

... DHF) documentation. Executes defined system design work with increasing independence while ... This role contributes to translation of user needs and clinical workflow inputs into system ...

WSP

Executive Assistant, C-Suite

Montreal, QC · Hybrid

Bilingualism (English-French) because the individual will frequently be involved with the review and translation of documents. Why choose WSP? We exist to shape communities to advance humanity. The ...

WSP

Executive Assistant, C-Suite

Montreal, QC · Hybrid

Bilingualism (English-French) because the individual will frequently be involved with the review and translation of documents. Why choose WSP? We exist to shape communities to advance humanity. The ...

previous pagenext page

Showing results 21-40

All JobsDocument Translation JobsDocument Translation Jobs in Quebec

Document Translation information

See Quebec salary details

$10

$21

$39

How much do document translation jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for document translation in Quebec is $21.40, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $23.08 per hour, depending on experience, location, and employer.

What is document translation?

Document translation is the process of converting written content from one language into another while preserving the original meaning, tone, and intent. Professional translators work with a variety of documents, such as legal contracts, academic transcripts, business reports, and marketing materials. The goal is to produce an accurate and culturally appropriate version of the document for the target audience. This often requires specialized knowledge of both the source and target languages, as well as subject matter expertise.

What are the key skills and qualifications needed to thrive as a document translator, and why are they important?

To thrive as a Document Translator, you need fluency in at least two languages, exceptional written communication skills, and often a relevant degree or certification in translation or linguistics. Familiarity with computer-assisted translation (CAT) tools, terminology databases, and quality assurance software is typically required. Attention to detail, cultural sensitivity, and strong time management are crucial soft skills for this role. Mastering these skills ensures translations are accurate, culturally appropriate, and delivered on time, which is vital for clear cross-language communication.

What are some common challenges faced by document translators, and how can they be addressed effectively?

Document translators often encounter challenges such as handling industry-specific terminology, maintaining the original tone and intent, and meeting tight deadlines. To address these issues, translators typically use specialized glossaries, translation memory tools, and collaborate with subject matter experts to ensure accuracy. Clear communication with clients and ongoing professional development also help translators stay current with best practices and language trends, ensuring high-quality results even under pressure.

What are popular job titles related to Document Translation jobs in Quebec?

For Document Translation jobs in Quebec, the most frequently searched job titles are:

Document Translation jobs near you
Infographic showing various Document Translation job openings in Quebec as of August 2026, with employment types broken down into 2% As Needed, 82% Full Time, 12% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $44,503 per year, or $21.4 per hour.

Generative AI Engineer

Apertera

Montreal, QC • On-site

Full-time

Re-posted 25 days ago

Job description

Generative AI EngineerAbout Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values: 

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

We are looking for a Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead in AI Innovation, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to to work at the intersection of LLM engineering, machine translation, cloud infrastructure, and evaluation. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions.

Responsibilities
  • Implement state-of-the-art LLM techniques including continued pre-training, instruction fine-tuning, preference alignment, and LLM deployment.
  • Work closely with machine learning engineers and data engineers to design, build, and test models.
  • Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
  • Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
  • Built end-to-end prototypes that are production ready.
  • Work closely with software and DevOps engineers to deploy GenAI models.    
  • Document code, algorithms, and experimental results, following best practices for reproducibility, version control, and software engineering, and contributing to internal knowledge sharing and continuous improvement initiatives.
Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields. A Master’s degree is preferred.
  • 2+ years of industry experience developing GenAI and LLM applications is preferred.
  • Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems.
  • Working knowledge and project-based record of all of the following: context engineering, RAG, harness engineering.
  • Working knowledge and project-based record of at least one of the following is a plus: LLM post-training, APO, agentic workflow.
  • Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.
  • Hands-on experience with Huggingface APIs or Amazon Bedrock. 
  • Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
  • Experience with cloud platforms like AWS, GCP, or Azure 
  • Excellent problem-solving skills, critical thinking, and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts effectively and work cross-functionally with diverse teams.
  • Self-driven, self-motivated with excellent time management skills
  • Excellent organizational, communication, and interpersonal skills
  • Ability to adapt to shifting priorities without compromising deadlines and momentum.

 

Powered by JazzHR

dohPJFKDFz