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: 13 hours ago

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateLaval, 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 Engineer – AI Model Training - AI Trainer

SuperAnnotateBlainville, Quebec, CA

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotatele Plateau, Quebec, CA

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateMont-Royal, 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

SuperAnnotateBoisbriand, Quebec, CA

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateNotre-Dame-de-Grace, Quebec, CA

Remote

Full-time

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateSaint-Laurent, Quebec, CA

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateBoisbriand, Quebec, CA

Remote

Full-time

Remote Data Engineer – AI Model Training - AI Trainer

SuperAnnotateRosemere, Quebec, CA

Remote

Full-time

Remote Financial Analyst – AI Model Training - AI Trainer

SuperAnnotateLaval, 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

SuperAnnotateSainte-Therese, 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 Engineer – AI Model Training - AI Trainer

SuperAnnotateLaval, Quebec, CA

13 hours ago

Job type

Full-time

Remote

Job description

If you’re a senior Data Engineer who thrives on precision, systems thinking, and building reliable data foundations, this is a unique opportunity to contribute directly to how the next generation of AI systems reason about data infrastructure, pipelines, and analytics workflows. We’re looking for experienced Data Engineers who understand modern data stacks, ETL / ELT architecture, orchestration, data modeling, warehouse design, quality validation, governance, and production-scale reliability.Your work will help strengthen how AI models reason through complex data engineering scenarios, identify technical errors, and communicate implementation guidance clearly.

Key Responsibilities :

Evaluate AI-generated answers to data engineering prompts for technical accuracy, completeness, clarity, and real-world feasibility.
Challenge advanced language models with complex Data Engineer scenarios involving SQL, Python, ETL / ELT design, orchestration, warehousing, data modeling, and pipeline reliability.
Review and refine AI-generated prompts, responses, rubrics, and reference answers to ensure they reflect senior-level data engineering judgment.
Provide structured feedback that identifies incorrect assumptions, missing constraints, weak reasoning, inefficient implementations, or unsafe recommendations.
Shape AI communication standards by helping models explain data architecture, debugging steps, tradeoffs, and implementation patterns clearly and responsibly.
Support benchmarking efforts by evaluating model performance across realistic data engineering workflows, edge cases, and failure modes.
Develop and review high-quality examples that demonstrate strong reasoning around pipeline design, data quality checks, data contracts, schema evolution, and system scalability.

Your Profile :

4+ years of professional experience in data engineering, with significant hands-on work designing, building, and maintaining production-grade data pipelines.
Deep knowledge of SQL, data modeling, ETL / ELT architecture, orchestration frameworks, warehouse / lakehouse patterns, and modern data stack tools such as dbt, Airflow, Snowflake, BigQuery, Databricks, Fivetran, or similar platforms.
Strong understanding of distributed data systems, batch and streaming workflows, schema design, data validation, data observability, lineage, and pipeline reliability.
Proven experience optimizing complex SQL queries, troubleshooting data quality issues, designing scalable transformations, and supporting analytics or machine learning-ready datasets.
Demonstrated experience in translating ambiguous business or technical requirements into reliable data models, pipeline designs, and implementation plans.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Statistics, Engineering, or a related technical field; equivalent professional experience will also be considered.
Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.