What are the most popular job searches in Saint-Eustache, QC?

The 10 most popular job searches in Saint-Eustache, QC are: junior graphic designer lighting designer it project manager it information technology javascript developer junior developer junior programmer net developer it support

Which cities in Canada offer the highest salaries for mechanical engineering jobs?

The top 10 cities are: Hamilton, ON ( from $ 60,159 to $ 213,868 year ) Longueuil, QC ( from $ 115,000 to $ 202,598 year ) Ottawa, ON ( from $ 67,500 to $ 201,110 year ) Burnaby, BC ( from $ 70,615 to $ 200,121 year ) Sault Ste. Marie, ON ( from $ 75,478 to $ 198,879 year ) Chatham-Kent, ON ( from $ 55,819 to $ 194,643 year )

Mechanical engineering Jobs in Saint-Eustache, QC

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Mechanical engineering • saint eustache qc

Last updated: 9 days ago

Remote Electrical Engineering Professor

Micro1Blainville, Quebec, CA

CA$40.00 hourly

Remote

Full-time

Electrical Engineering Professor.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthca... Show more

Mechanical press operator - metal products manufacturing

Pièces automobiles Raufoss Canada Inc.Boisbriand, QC, Canada

Permanent

Secondary (high) school graduation certificate.Metal product fabrication industry.Check products for correct shapes, dimensions and other specifications.Cut, bend, roll, ream, punch, drill, weld or... Show more

Remote Mechanical Engineering Professor

Micro1Beaconsfield, Quebec, CA

CA$60.00 hourly

Remote

Full-time

Mechanical Engineering Professor.AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthca... Show more

Remote Mechanical Engineering Professor

Micro1Sainte-Marthe-sur-le-Lac, Quebec, CA

CA$60.00 hourly

Remote

Full-time

Budget Analyst, Engineering

BombarbierPointe-Claire, Québec, CA, H9R 5Z3

Full-time

When applicable, Bombardier promotes flexible and hybrid work policies.At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s most discerning people and b... Show more

Micro1Saint-Eustache, Quebec, CA

CA$60.00 hourly

Remote

Full-time

Technician Quality Control, Mechanical (CMM)

Kinova Inc.Boisbriand

Permanent

Perform visual, dimensional, and functional inspections of components and products using various measurement tools;.Document inspection results according to best documentation practices;.Conduct th... Show more

Remote Electrical Engineering Professor

Micro1Blainville, Quebec, CA

13 days ago

Salary

CA$40.00 hourly

Job type

Full-time

Remote

Job description

Electrical Engineering Professor$40 - $130/hourpay

Required Skills

electrical engineeringanalog circuitsdigital circuitsrfpower electronicsintegrated circuits (ic)educational content creationrubric designassessment developmentinstructional designtechnical writingverbal communicationasynchronous collaborationremote workindependent work

About micro1

micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Electrical Engineering Professor

Role Type: Contractor.

Location: Remote

micro1 is engaging Electrical Engineering Professors to contribute expertise to a high-impact project advancing AI research and assessment technology. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

Design and author graduate-level single-option (multiple-choice) exam questions within your area of electrical engineering specialization, ensuring rigor and authenticity.
Develop detailed explanations and precise grading rubrics for each question, consistent with academic standards and best practices in assessment.
Review and validate the technical accuracy and pedagogical strength of AI-generated content related to electrical engineering concepts.
Collaborate asynchronously with other subject matter experts to refine question quality, ensuring clarity, relevance, and academic rigor.
Evaluate AI model outputs, providing nuanced feedback that reflects your understanding of where models meet or diverge from human reasoning.
Clearly communicate complex technical concepts in written form, as for exam solutions or instructional content.
Contribute to a continually evolving, high-quality question bank that reflects advanced engineering reasoning.

Preferred Qualifications

PhD or advanced Master's degree in Electrical Engineering with demonstrated teaching experience at the university level (professor, adjunct, lecturer, or TA).
Experience authoring or reviewing graduate-level assessments, exams, or coursework in electrical engineering.
Deep subject matter knowledge in one or more of: Analog Circuits, Digital Circuits, RF, Power Electronics, with emphasis on Integrated Circuits (IC).
Expertise in rubric design, assessment development, or educational content creation.
Exceptional written communication skills, with a strong emphasis on clarity and academic rigor.
Demonstrated capacity to work independently, meet project milestones, and deliver high-quality contributions remotely.
Comfort with asynchronous collaboration on remote research or content development projects.

Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.