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Ai Language Trainer Jobs in Quebec (NOW HIRING)

... training and development opportunities. Comprehensive Coverage - A complete health, dental, life ... Full-time, permanent, Hybrid Language Requirement: This role requires professional proficiency in ...

Grow With Us - Take advantage of ongoing professional training and development opportunities ... Full-time, permanent, Hybrid Language Requirement: This role requires professional proficiency in ...

Design and deploy Generative AI solutions using Large Language Models (LLMs) and diffusion models ... Develop predictive models by selecting, training, and tuning traditional machine learning and deep ...

New

Support and deliver practical training and enablement sessions for development teams on approved AI ... Hands-on experience writing code in at least one modern programming language, such as Java ...

CI/CD across the ML and LLM lifecycle covering model training, evaluation harnesses, model serving ... the common language across our Global Enterprise. Due to the significant high volume of ...

CI/CD across the ML and LLM lifecycle covering model training, evaluation harnesses, model serving ... the common language across our Global Enterprise. Due to the significant high volume of ...

... training, fine-tuning, and inference. * Experience implementing governance frameworks to ensure ... Experience with large language models (LLMs), prompt engineering, and retrieval‑augmented ...

... training, fine-tuning, and inference. * Experience implementing governance frameworks to ensure ... Experience with large language models (LLMs), prompt engineering, and retrievalaugmented generation ...

... training, fine-tuning, and inference. * Experience implementing governance frameworks to ensure ... Experience with large language models (LLMs), prompt engineering, and retrieval‑augmented ...

New

... training, fine-tuning, and inference. Experience implementing governance frameworks to ensure ... Experience with large language models (LLMs), prompt engineering, and retrieval‑augmented ...

... training, fine-tuning, and inference. * Experience implementing governance frameworks to ensure ... Experience with large language models (LLMs), prompt engineering, and retrieval‑augmented ...

New

... training, fine-tuning, and inference. * Experience implementing governance frameworks to ensure ... Experience with large language models (LLMs), prompt engineering, and retrieval‑augmented ...

New

Showing results 21-40

Ai Language Trainer information

What are the key skills and qualifications needed to thrive in the AI language trainer position, and why are they important?

To thrive as an Ai Language Trainer, you need a solid understanding of linguistics, natural language processing, and data annotation, often supported by a degree in computer science, linguistics, or a related field. Familiarity with annotation platforms, scripting languages like Python, and AI training or evaluation tools is highly advantageous. Exceptional attention to detail, analytical thinking, and strong communication skills help you excel when creating and refining language datasets. These skills are crucial for producing high-quality language models that power accurate and reliable AI applications.

What are the typical daily responsibilities of an AI language trainer?

As an Ai Language Trainer, your daily tasks usually involve curating and annotating language data, reviewing and correcting AI-generated outputs, and providing detailed feedback to improve language models. You'll often collaborate with data scientists, software engineers, and fellow linguists to identify gaps in model performance and discuss strategies for improvement. Additionally, you may be responsible for designing linguistic evaluation tests and participating in quality assurance processes. The role requires a mix of independent problem-solving and teamwork to ensure ongoing enhancements in AI language understanding.

What is an AI language trainer?

An AI Language Trainer is responsible for improving AI language models by providing high-quality training data, refining responses, and ensuring accuracy, clarity, and relevance. This role often involves reviewing and annotating text, evaluating model outputs, and offering linguistic or grammatical corrections. AI Language Trainers may also collaborate with engineers and researchers to enhance the model’s performance and adaptability across different topics and contexts.

What job categories do people searching Ai Language Trainer jobs in Quebec look for? The top searched job categories for Ai Language Trainer jobs in Quebec are:
Infographic showing various Ai Language Trainer job openings in Quebec as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Generative AI Software Engineer

Apertera

Montreal, QC • On-site

Full-time

Re-posted 14 days ago


Job description

About 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 Senior 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 be working in an R&D Team which reports to the VP of AI Innovation with the objective to develop and implement state-of-the-art algorithms by fast prototyping. We expect our Senior Generative AI Engineer to stay current with the technological cutting edge and drive the application of LLM and GenAI to translation, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions.

Responsibilities
  • Research and implement state-of-the-art LLM techniques including continued pre-training, supervised fine-tuning, reinforcement learning from human or AI feedback (PPO, DPO, GRPO, etc.), and LLM deployment.
  • Work closely with our expert advisor to strategize, plan, and design technical roadmaps and features of GenAI products.
  • Develop prototypes of GenAI and LLM application to translation use cases.
  • Drive technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
  • Stay updated with the latest advancements and research trends in generative AI, attending conferences, workshops, and seminars, and actively contributing to the AI research community through publications and presentations
  • Work closely with DevOps Engineers, software engineers, designers, and product managers to understand project requirements, align on technical solutions, and deliver high-quality generative AI solutions that meet business objectives and user needs.
  • Communicate technical strategies effectively across teams and manage stakeholder expectations. 
Requirements
  • Master in Computer Science, Data Science, Statistics, or Engineering. PhD or equivalent experience is preferred.
  • 3+ years of industry experience developing GenAI and LLM applications.
  • Working knowledge and project-based record of all of the following: context engineering, RAG, SFT. 
  • Working knowledge and project-based record of at least one of the following:  continued pre-training, PPO/DPO/GRPO, Agentic systems (including harness engineering, MCP server, etc.).
  • Proficiency in programming languages such as Python, with experience in software development and version control systems (e.g., Git).
  • Hands-on experience with Huggingface APIs or Amazon Bedrock. Experience with both is preferred. 
  • Expert skills of 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.

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