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Linguistic Engineer Jobs in Quebec (NOW HIRING)

Collaborate with TTS engineers to integrate linguistic artefacts into synthesis pipelines. * Contribute to internal documentation and participate in research discussions. Requirements * M.Sc. or Ph.D ...

Linguistic-asset leverage * Treat translation memories and terminology as core productivity assets ... Automation & data engineering. Hands-on background in automation, workflow orchestration, and data ...

New

Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics, Computational Linguistics or related fields * 3+ years of applicable work experience in ML * Hands-on ...

Support fleet engineering on maintenance programs and/or reliability improvements initiatives ... Linguistic Requirements Based on equal qualifications, preference will be given to bilingual ...

Support fleet engineering on maintenance programs and/or reliability improvements initiatives ... Linguistic Requirements Based on equal qualifications, preference will be given to bilingual ...

Funding for additional technical, linguistic, and behavioral training relevant to the role and ... Here, employees are at the heart of the realization of the product, developed through engineering ...

... detection engineering, and incident response activities. You will support the continuous ... Linguistic Requirements Based on equal qualifications, preference will be given to bilingual ...

D. preferred) in Computer Science, Localization Studies, Computational Linguistics, or any other ... Engineering, Translation/Localization Management, UX Localization, or Natural Language Processing ...

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Linguistic Engineer information

See Quebec salary details

$34.5K

$81K

$155.5K

How much do linguistic engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for linguistic engineer in Quebec is $81,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $105,500.00 per year, depending on experience, location, and employer.

What is the difference between Linguistic Engineer vs Speech Scientist?

AspectLinguistic EngineerSpeech Scientist
Required CredentialsDegree in linguistics, computer science, or related field; experience with NLP and programmingDegree in linguistics, speech pathology, or related field; focus on speech processing and acoustics
Work EnvironmentTech companies, AI development, software labsResearch institutions, universities, healthcare, speech technology firms
Employer & Industry UsageTech industry, AI, NLP projectsAcademic, healthcare, speech recognition, and processing industries

While both roles involve language and speech, Linguistic Engineers focus on developing NLP systems and language models, whereas Speech Scientists specialize in understanding and analyzing speech production and perception. The roles often overlap in speech technology projects but differ in their core focus and expertise areas.

What is a Linguistic Engineer?

A Linguistic Engineer is a professional who combines expertise in linguistics and computer science to develop language technologies such as speech recognition systems, natural language processing (NLP) tools, and machine translation software. They work on designing and implementing algorithms that allow computers to understand, interpret, and generate human language. Their work is essential in improving digital assistants, chatbots, and other AI-driven language applications.

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

To thrive as a Linguistic Engineer, you need a strong background in computational linguistics, programming (commonly Python or Java), and natural language processing (NLP), typically supported by a degree in linguistics, computer science, or a related field. Familiarity with NLP frameworks like NLTK or spaCy, machine learning libraries, and experience with annotation tools or speech recognition systems are often required. Attention to detail, analytical thinking, and effective communication are standout soft skills for collaborating with cross-functional teams and solving complex language problems. These skills are crucial for developing accurate language technologies and ensuring that NLP applications perform reliably in real-world scenarios.

How does a Linguistic Engineer typically collaborate with software developers and data scientists on language technology projects?

Linguistic Engineers often work closely with software developers and data scientists to build and refine natural language processing (NLP) tools and applications. They bring expertise in linguistics and language data, helping to create annotated corpora, develop language models, and ensure the linguistic accuracy of algorithms. Regular communication and teamwork are essential, as Linguistic Engineers translate linguistic requirements into technical specifications, troubleshoot language-related issues, and support model evaluation. This collaborative environment fosters learning and innovation, making cross-functional teamwork a key aspect of the role.
What job categories do people searching Linguistic Engineer jobs in Quebec look for? The top searched job categories for Linguistic Engineer jobs in Quebec are:
What cities in Quebec are hiring for Linguistic Engineer jobs? Cities in Quebec with the most Linguistic Engineer job openings:
Infographic showing various Linguistic Engineer job openings in Quebec as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $81,037 per year, or $39 per hour.

Phonetician / Linguist (fr-CA & en-CA)

Omilia

Quebec, QC • On-site

Other

PTO

Re-posted 2 days ago


Job description

Role Purpose

Ensure the linguistic and phonetic quality of Omilia's multilingual Text-to-Speech (TTS) systems by designing phoneme inventories, developing lexicons, and reviewing audio corpora to support enterprise-grade voice experiences.

Accountabilities
  • Autonomy: Independently conduct phonological and phonetic analysis, design phoneme inventories, and develop lexicons for multiple languages.
  • Scope & Complexity: Responsible for linguistic quality across all supported languages in TTS, including handling underrepresented phenomena and complex language-specific features.
  • Impact: Directly influences the naturalness, accuracy, and quality of Omilia's TTS output, impacting customer experience in global contact center deployments.
  • Influence/Mentorship: Collaborates with TTS engineers, data scientists, and ML researchers; coordinates with native-speaker reviewers and external annotation pipelines.
Key Responsibilities
  • Conduct systematic phonological and phonetic analysis of the Canadian French and Canadian English languages.
  • Document language-specific features (prosody, stress, tone, coarticulation, dialect variation).
  • Produce structured language profiles for TTS model training and evaluation.
  • Define and maintain phoneme inventories; map to IPA and TTS-specific conventions.
  • Corpus audits and optimal audio references selections for TTS target voice tuning
  • Build and maintain pronunciation lexicons, including G2P rules and exceptions.
  • Review and correct machine-generated G2P outputs; conduct pronunciation audits.
  • Annotate audio corpora, develop evaluation protocols, and produce error analyses.
  • Define linguistic criteria for TTS corpus selection and design prompts for data collection.
  • Collaborate with TTS engineers to integrate linguistic artefacts into synthesis pipelines.
  • Contribute to internal documentation and participate in research discussions.

Requirements

  • M.Sc. or Ph.D. in Linguistics, Phonetics, Computational Linguistics, or related field.
  • Proven experience building pronunciation lexicons or G2P systems for TTS or ASR.
  • Deep knowledge of phonological theory, articulatory and acoustic phonetics.
  • Proficiency with IPA and at least one machine-readable phoneme notation system (X-SAMPA, ARPAbet, etc.).
  • Experience with corpus annotation tools (Praat, ELAN, WebAnno, etc.).
  • Strong analytical and documentation skills.
  • Fluency in English; proficiency in at least one additional language relevant to Omilia's markets.
  • Technical skills: Praat, ELAN, Audacity, PLS/CMUdict/SSML lexicon formats, Phonetisaurus/Sequitur/neural G2P, basic Python or shell scripting, TTS text normalization.

Benefits

  • Fixed compensation;
  • Long-term employment with the working days vacation;
  • Development in professional growth (courses, training, etc);
  • Being part of successful cutting-edge technology products that are making a global impact in the service industry;
  • Proficient and fun-to-work-with colleagues;
  • Apple gear.

Omilia is proud to be an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. We believe that embracing diversity in all its forms enriches our workplace and drives our collective success. We are committed to creating an environment where everyone feels welcomed, valued, and empowered to contribute their unique perspectives without regard to factors such as race, color, religion, gender, gender identity or expression, sexual orientation, national origin, heredity, disability, age, or veteran status, all eligible candidates will be given consideration for employment.