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Llm Trainer Jobs in Quebec (NOW HIRING)

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 ...

... LLM workflows). * ❌ This is NOT: A Machine Learning research or AI model-building role. We are not developing novel neural network architectures or training models from scratch. What You'll Build ...

... training to support your success. If you're driven to push AI boundaries and help clients rapidly adopt GenAI with confidence, apply to make a real difference. Responsibilities: * LLM/GenAI System ...

Traditional ML cloud applications (training pipelines, deployment, monitoring, iteration) * LLM-based systems (RAG, MCP, Agent workflows, fine-tuned models) * Experience with MCP or similar ...

$80 - $100/hr

Passion for mentoring, training, and scaling technical knowledge across large partner ecosystems. * Experience applying AI/ML or LLM/agentic AI to cybersecurity workflows or partner service delivery.

$80 - $100/hr

Passion for mentoring, training, and scaling technical knowledge across large partner ecosystems. * Experience applying AI/ML or LLM/agentic AI to cybersecurity workflows or partner service delivery.

Experience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or ... Real-time voice AI pipelines (STT, TTS, streaming LLM) * Production RAG systems beyond toy ...

Experience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or ... Real-time voice AI pipelines (STT, TTS, streaming LLM) * Production RAG systems beyond toy ...

Familiarity with prompt engineering and LLM orchestration frameworks * Background in enterprise ... training and development opportunities. Comprehensive Coverage - A complete health, dental, life ...

Familiarity with prompt engineering and LLM orchestration frameworks * Background in enterprise ... Grow With Us - Take advantage of ongoing professional training and development opportunities.

Develop data cleaning strategies and prepare training datasets * Measure model performance and ... Experience avec les grands modeles de langage (LLM), les systemes RAG et Copilot * Experience des ...

Develop data cleaning strategies and prepare training datasets * Measure model performance and ... Expérience avec les grands modèles de langage (LLM), les systèmes RAG et Copilot * Expérience ...

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Llm Trainer information

What is an LLM trainer?

An LLM Trainer is responsible for training and fine-tuning large language models (LLMs) to improve their accuracy, efficiency, and relevance for specific applications. This role involves curating and preprocessing training data, designing training methodologies, and evaluating model performance. LLM Trainers work closely with data scientists, engineers, and researchers to optimize models for tasks such as natural language understanding, text generation, and conversational AI. They also ensure ethical AI practices by mitigating biases and refining model outputs.

What does an LLM trainer do?

LLM Trainers are responsible for designing and refining training datasets, developing prompts, evaluating model outputs, and working closely with engineers and data scientists to optimize large language models. Common challenges include maintaining data quality, mitigating model biases, and staying up-to-date with rapidly evolving AI research and best practices. You’ll often collaborate with cross-functional teams, communicate findings clearly, and adapt to new tools or methodologies. This dynamic environment offers opportunities for innovation and skill development, making it an excellent fit for those passionate about advancing AI technology.

What skills and qualifications are needed to be an LLM trainer?

To thrive as an LLM Trainer, you need a deep understanding of natural language processing (NLP), machine learning principles, and data annotation techniques, often supported by a background in computer science or related fields. Familiarity with tools like Python, PyTorch or TensorFlow, data labeling platforms, and version control systems is essential, along with knowledge of prompt engineering and model fine-tuning. Strong analytical thinking, attention to detail, and collaborative communication skills are crucial soft skills for working with cross-functional AI teams. These competencies are important for developing high-quality language models that meet user needs and industry standards.

What are popular job titles related to Llm Trainer jobs in Quebec?

For Llm Trainer jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Llm Trainer jobs in Quebec look for?

The top searched job categories for Llm Trainer jobs in Quebec are:

Infographic showing various Llm Trainer job openings in Quebec as of August 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 24% In-person, and 76% Remote job distribution.

Senior Generative AI Software Engineer

Apertera

Montreal, QC • On-site

Full-time

Re-posted 24 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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