What are the most popular job searches in Laval, QC?

The 10 most popular job searches in Laval, QC are: work from home warehouse canada post online daycare airport restaurant government receptionist freelance

Which cities in Canada offer the highest salaries for modeling jobs?

The top 10 cities are: London, ON ( from $ 78,925 to $ 198,731 year ) Calgary, AB ( from $ 83,500 to $ 193,212 year ) Cambridge, ON ( from $ 134,000 to $ 189,000 year ) Ottawa, ON ( from $ 95,320 to $ 176,963 year ) Toronto, ON ( from $ 104,030 to $ 173,230 year ) Vancouver, BC ( from $ 100,400 to $ 172,303 year ) Old toronto, ON ( from $ 99,606 to $ 169,650 year ) Montreal-Ouest, QC ( from $ 92,931 to $ 149,278 year ) Montreal, QC ( from $ 94,519 to $ 149,175 year ) North York, ON ( from $ 95,800 to $ 138,921 year )

Modeling Jobs in Laval, QC

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Modeling • laval qc

Last updated: 12 hours ago

Remote Data Architect – AI Model Training - AI Trainer

SuperAnnotateNotre-Dame-de-Grace, Quebec, CA

Remote

Full-time

3D Modeling Private Tutoring Jobs Laval

SuperprofLaval, Canada

Full-time +1

Superprof is Canada's #1 tutoring platform, and we're actively recruiting passionate tutors! Whether you're a student, a professional, or simply someone who loves teaching, join the largest communi...Show more

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateBlainville, Quebec, CA

Remote

Full-time

This is a unique opportunity to contribute directly to how advanced AI systems understand, evaluate, and explain financial concepts.We’re looking for finance professionals who bring deep experience...Show more

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateRosemere, Quebec, CA

Remote

Full-time

Remote Data Architect – AI Model Training - AI Trainer

SuperAnnotateMont-Royal, Quebec, CA

Remote

Full-time

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateBoisbriand, Quebec, CA

Remote

Full-time

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotatele Plateau, Quebec, CA

Remote

Full-time

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateSaint-Laurent, Quebec, CA

Remote

Full-time

Remote Data Architect – AI Model Training - AI Trainer

SuperAnnotatele Plateau, Quebec, CA

Remote

Full-time

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateLaval, Quebec, CA

Remote

Full-time

Remote Data Architect – AI Model Training - AI Trainer

SuperAnnotateBlainville, Quebec, CA

Remote

Full-time

Génie Industriel- Ingénieur Performance Process (PPE) / Process Performance Engineer (PPE)

Airbus Canada Limited PartnershipOutremont, Quebec, Canada

Full-time +1

Job Description:** * ***English job description follows*** * **Titre du poste :* Ingénieur industriel - Ingénieur processus et Performance (PPE) / Industrial engineer / Performance Process Engineer...Show more

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateSainte-Therese, Quebec, CA

Remote

Full-time

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateNotre-Dame-de-Grace, Quebec, CA

Remote

Full-time

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateSaint-Leonard, Quebec, CA

Remote

Full-time

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateTerrebonne, Quebec, CA

Remote

Full-time

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateMont-Royal, Quebec, CA

Remote

Full-time

Remote Data Architect – AI Model Training - AI Trainer

SuperAnnotateRosemere, Quebec, CA

Remote

Full-time

Remote Data Architect – AI Model Training - AI Trainer

SuperAnnotateSaint-Laurent, Quebec, CA

Remote

Full-time

Remote Data Architect – AI Model Training - AI Trainer

SuperAnnotateNotre-Dame-de-Grace, Quebec, CA

12 hours ago

Job type

Full-time

Remote

Job description

If you’re a senior Data Architect who thrives on precision, systems thinking, governance, and scalable data design, this is a unique opportunity to contribute directly to how the next generation of AI systems reason about complex enterprise data environments. We’re looking for experienced data architecture professionals ; in this role, you’ll challenge and evaluate advanced language models on Data Architect topics. Your work will help strengthen how AI systems analyze technical requirements, reason through architecture decisions, and communicate accurate guidance to technical and business stakeholders.

Key Responsibilities :

Evaluate AI-generated responses for accuracy, completeness, clarity, and sound architectural reasoning across data architecture topics.
Challenge advanced language models with realistic Data Architect scenarios involving enterprise data platforms, governance models, integration patterns, and analytics ecosystems.
Review and refine AI-generated prompts, answers, explanations, and technical recommendations to ensure they reflect sound data architecture principles.
Provide structured feedback on model outputs, identifying gaps in reasoning, incorrect assumptions, architectural risks, or missing tradeoffs.
Assess whether AI responses appropriately address scalability, performance, security, compliance, data quality, and maintainability.
Shape AI communication standards for technical explanations, ensuring responses are clear, practical, and appropriate for data engineers, analysts, executives, and cross-functional stakeholders.
Support benchmarking efforts by helping define what strong, weak, and misleading AI-generated data architecture responses look like.
Create or review domain-specific evaluation tasks that test model understanding of data modeling, cloud architecture, data governance, and enterprise information management.

Your Profile :

4+ years of professional experience in data architecture, enterprise data strategy, data engineering leadership, or a closely related technical role.
Significant hands-on work with enterprise data platforms, cloud data warehouses, lakehouse architectures, data pipelines, metadata systems, and / or large-scale analytical environments.
Deep knowledge of conceptual, logical, and physical data modeling, including normalization, dimensional modeling, schema design, semantic layers, and data domain modeling.
Strong understanding of data governance, data quality, data lineage, privacy, security, master data management, and regulatory considerations in enterprise data environments.
Proven experience designing scalable data architectures across cloud platforms such as AWS, Azure, or Google Cloud, including modern data warehouses, data lakes, and orchestration patterns.
Demonstrated experience in translating business requirements into durable data architecture decisions, technical standards, platform recommendations, and implementation roadmaps.
Bachelor’s degree in computer science, information systems, data engineering, software engineering, mathematics, or a related field; advanced degree or relevant architecture certifications are preferred.