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Modeling Jobs in Quebec (NOW HIRING)

United Airlines

Java Developer

Montreal, QC · On-site

Building backend services that support model onboarding, validation workflows, auditability, and governance * Designing and managing data models aligned to MRM, regulatory, and operational ...

Jesta I.S.

Design and execute model experiments, hypothesis testing, oracle testing, and statistical evaluations.Evaluate and benchmark forecasting approaches including LightGBM, Random Forest, Gradient ...

Jestais

Design and execute model experiments, hypothesis testing, oracle testing, and statistical evaluations. * Evaluate and benchmark forecasting approaches including LightGBM, Random Forest, Gradient ...

LawZero

Senior ML Research Scientist

Montreal, QC

Propose, design, and implement novel ML models tailored to solve complex AI safety problems. * Collaborate with mathematicians and other specialized research scientists to integrate theoretical ...

Gravity 9 Solutions Ltd

$100 - $135/hr

Own technical decisions across the full stack, data platform, training environment, model serving, and MLOps tooling. * Set engineering standards for ML projects: experiment tracking, model ...

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Modeling information

See Quebec salary details

$5

$48

$193

How much do modeling jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for modeling in Quebec is $48.50, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $39.90 per hour, depending on experience, location, and employer.

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

To excel in Modeling, individuals need physical fitness, confidence, a strong sense of body awareness, and often a portfolio of professional photos; previous experience or training in runway walking or posing is also beneficial. Familiarity with industry tools such as digital comp cards, booking platforms, and sometimes contracts or modeling agency agreements is typically required. Exceptional communication skills, punctuality, and the ability to adapt to feedback help models stand out in this highly competitive field. These qualifications and personal attributes are essential for representing brands effectively and securing ongoing work in various modeling environments.

How do I begin modeling?

To begin a modeling career, focus on building a professional portfolio that showcases your appearance and versatility. Consider taking modeling classes or workshops to develop skills and understand industry standards, and research agencies to find reputable ones to submit your portfolio to. Maintaining good grooming, staying healthy, and understanding the industry’s expectations are also important steps.

What is a Modeling job?

A modeling job involves showcasing clothing, products, or concepts for advertisements, fashion shows, or promotional events. Models work in various industries such as fashion, commercial, fitness, and art. They pose for photographers, walk on runways, or demonstrate products for brands. Success in modeling often requires a strong portfolio, good physical presentation, and professional networking.

What types of modeling assignments can I expect, and how does the work schedule typically look?

Modeling assignments can range from fashion runway shows and editorial photo shoots to commercial advertisements, product promotions, or fitness campaigns. The work schedule is often variable, with early mornings, late evenings, or weekend commitments depending on the client’s needs, and assignments may be short-term or ongoing. Models frequently work with photographers, stylists, makeup artists, and directors, requiring strong teamwork and adaptability. Flexibility and professionalism are key, as job notifications can come at short notice and may require travel. Building a diverse portfolio and positive industry relationships can open doors to more consistent and high-profile opportunities.

How can you get into modeling?

To get into modeling, individuals typically build a portfolio of professional photos, gain experience through local or open casting calls, and seek representation from a modeling agency. Having a good understanding of industry standards, maintaining a healthy appearance, and developing relevant skills can improve chances of success.

Is 25 too late to start modeling?

Modeling is a flexible career with opportunities for individuals of various ages. Many agencies and clients value unique looks and experience, so starting at 25 can still lead to success, especially with a strong portfolio and good networking. Age may influence the type of modeling, such as fashion or commercial, but it does not automatically disqualify someone from entering the field.

Can a 5'4" girl model?

Modeling agencies often have height requirements that vary by type of modeling. While high fashion runway models typically are 5'8" and taller, commercial and print modeling can be more flexible, and many successful models are around 5'4". Building a strong portfolio and demonstrating versatility can help in pursuing modeling opportunities regardless of height.
What are the most commonly searched types of Modeling jobs in Quebec? The most popular types of Modeling jobs in Quebec are:
What are popular job titles related to Modeling jobs in Quebec? For Modeling jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Modeling jobs in Quebec look for? The top searched job categories for Modeling jobs in Quebec are:
Modeling jobs near you

QA Lead - AI Systems & Models Testing

Jay Analytix

Montreal, QC • On-site

Contractor

Re-posted 5 days ago

Job description

QA Lead - AI Systems & Models Testing

Quality Assurance Artificial Intelligence Contract Position

Contract

Montreal, QC

AI / ML Testing

LLM / RAG / LangChain

ABOUT THE ROLE

We are seeking an experienced QA Lead with deep expertise in AI systems testing to join our team on a contract basis in Montreal, Quebec. This role sits at the intersection of quality engineering and artificial intelligence, requiring hands-on proficiency in LLM behavior analysis, RAG pipeline validation, and modern AI orchestration frameworks. You will own the end-to-end test strategy for complex AI products and help define quality standards in a rapidly evolving space.

MUST-HAVE SKILLS

  • Proven QA leadership experience designing and executing test strategies for AI/ML systems or LLM-powered applications.
  • Strong understanding of LLM internals: tokenization, embeddings, attention mechanisms, and inference behavior to anticipate and diagnose failure modes.
  • Hands-on experience with prompt engineering - constructing effective prompts, detecting hallucinations, and evaluating outputs across accuracy, tone, coherence, and bias dimensions.
  • Experience testing RAG pipelines and knowledge base integrations, including validation of data quality and retrieval accuracy as they impact model outputs.
  • Familiarity with vector database mechanics: similarity search thresholds, embedding drift, near-duplicate documents, and sparse vs. dense embeddings.
  • Practical experience with LangChain and/or LangGraph - able to read chain/graph construction code, identify failure points, and write test harnesses.
  • Ability to validate MCP (Model Context Protocol) integration points, including tool availability and error-handling scenarios.
  • Proficiency applying generative AI evaluation metrics and establishing quality thresholds appropriate for production AI systems.
  • Excellent written and verbal communication in English; bilingualism (English/French) is a plus for the Montreal market.

NICE-TO-HAVE SKILLS

  • Experience with bias detection and safety testing frameworks for AI systems.
  • Exposure to performance and scalability testing of vector databases under high load.
  • Familiarity with CI/CD pipelines for ML model deployment and automated regression testing.
  • Knowledge of responsible AI principles and AI governance frameworks.
  • Contributions to or experience with open-source AI testing or evaluation tooling (e.g., DeepEval, Ragas, PromptFlow).
  • Background in data engineering or data quality practices relevant to AI pipeline inputs.
  • Cloud platform experience (AWS, Azure, or GCP) in the context of deploying or testing AI workloads.

KEY RESPONSIBILITIES

  • Lead design and execution of comprehensive test strategies across AI systems, including prompt evaluation, output quality assessment, and bias/safety analysis.
  • Develop and maintain test harnesses for LangChain and LangGraph-based applications; review chain and graph construction code to proactively surface integration risks.
  • Validate RAG pipeline integrity - data ingestion, chunking, retrieval accuracy, and embedding consistency - and define edge-case coverage for vector database interactions.
  • Establish and track generative AI quality metrics and thresholds; report on model output quality across multiple evaluation dimensions.
  • Collaborate with ML engineers, data scientists, and product teams to embed quality practices throughout the AI development lifecycle.
  • Document test findings clearly for both technical and non-technical stakeholders.

Contract position based in Montreal, Quebec, Canada On-site / Hybrid

Employment Type: CONTRACTOR

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