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Engineering Jobs in Kingston, ON

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Last updated: 18 hours ago

Remote Aerospace Engineer – AI Model Training - AI Trainer

SuperAnnotateKingston, Ontario, CA
Remote
Full-time

If you’re an aerospace engineering expert who thrives on technical precision, systems thinking, and rigorous analysis, this is a unique opportunity to contribute directly to how the next generation...Show more

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Cultural Heritage Specialist / Lead - Environmental Engineering

McIntosh PerryKingston, Ontario, CA
Full-time

Are you ambitious and looking to make the right move in your career? Now is the perfect time to join Egis.Egis is experiencing substantial growth in North America, highlighted by our recent acquisi...Show more

Mechanical Lead Engineer (Equipment Installation, Piping & Pneumatic)

QA Consultants Inc.Kingstone, Ontario, Canada
Full-time

Mechanical Lead Engineer (Equipment Installation, Piping & Pneumatic).Hybrid (Remote Mondays and Fridays).In just three decades, ALTEN has become a global leader in Research & Development, Engineer...Show more

Construction/Engineering Field Inspector - 2024 Opportunities

McIntosh PerryKingston, Ontario, CA
Full-time

As a member of our Contract Administration Division, you will be responsible for field inspection assignments for construction sites throughout Ontario.For each project, we strategically select sta...Show more

Structural Engineering Graduate

J.L. Richards & Associates LimitedKingston, CA
Full-time

We’ve opened a role in our Kingston office for a talented, entrepreneurial Structural Engineering Graduate to work alongside exceptional people in JLR’s Structural group.Are you excited to apply wh...Show more

Research Engineer - LLM Training & Alignment Systems

Huawei Technologies Canada Co., Ltd.Kingston, ON, CA
Temporary

Huawei Canada has an immediate 12-month contract opening for a Research Engineer.The Centre for Software Excellence Lab conducts pioneering research in software engineering, focusing on next-genera...Show more

Project Coordinator

Tomlinson Group of CompaniesKingston, Ontario, CA
Full-time

Tomlinson Infrastructure is currently seeking a Project Coordinator.This position reports to the Project Manager, while also remaining accountable to the Construction Manager.The Project Coordinato...Show more

Simulation Systems Specialist

ADGA Group Consultants IncKingston, Canada
Full-time +1

The Simulation System Specialist is responsible for the planning, development, testing and execution of code specific to the back-end integration of intelligence-centric synthetic environment (SE) ...Show more

Logistics Coordinator

AlstomKingston, ON, CA
Full-time

At Alstom, we understand transport networks and what moves people.From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility...Show more

Machinist/QA

NPA WorldWideKingston, Ontario, Canada
Full-time +1

This posting is for an existing opening.Inspect all machined and fabricated jobs to ensure compliance with drawing, process and customer specifications.Monitor in-process jobs throughout the shop t...Show more

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Remote Aerospace Engineer – AI Model Training - AI Trainer

Remote Aerospace Engineer – AI Model Training - AI Trainer

SuperAnnotateKingston, Ontario, CA
18 hours ago
Job type
  • Full-time
  • Remote
Job description

If you’re an aerospace engineering expert who thrives on technical precision, systems thinking, and rigorous analysis, this is a unique opportunity to contribute directly to how the next generation of AI systems reason about flight, propulsion, structures, aerodynamics, controls, and mission-critical engineering decisions.We’re looking for senior Aerospace Engineer professionals with deep experience to strengthen model reasoning and technical accuracy.

Key Responsibilities :

  • Evaluate AI-generated aerospace engineering content for technical accuracy, completeness, assumptions, and reasoning quality.
  • Challenge advanced language models with domain-specific prompts involving aerodynamics, propulsion, aircraft or spacecraft systems, structural mechanics, flight dynamics, controls, and test engineering.
  • Review and refine AI-generated prompts, responses, calculations, explanations, and technical recommendations.
  • Provide structured feedback that identifies errors, missing constraints, unsafe assumptions, weak reasoning, or unclear communication.
  • Shape AI communication standards for aerospace topics by helping models respond with precision, appropriate caveats, and engineering judgment.
  • Support benchmarking efforts by creating, reviewing, and scoring aerospace engineering tasks across varying levels of complexity.
  • Assess whether AI outputs properly apply first principles, engineering standards, units, tolerances, boundary conditions, and safety factors.
  • Compare multiple AI-generated answers and rank them based on technical correctness, clarity, and usefulness to professional users.

Your Profile :

  • 4+ years of professional experience as an Aerospace Engineer or in a closely related aerospace, aeronautical, astronautical, propulsion, structures, systems, or flight sciences role.
  • Significant hands-on work with aerospace design, analysis, testing, simulation, verification, certification, or mission-critical engineering decision-making.
  • Deep knowledge of aerospace fundamentals such as aerodynamics, propulsion, flight mechanics, orbital mechanics, structures, materials, controls, or systems engineering.
  • Strong understanding of engineering tradeoffs, safety margins, model validation, boundary conditions, performance constraints, and technical risk assessment.
  • Proven experience interpreting technical requirements, engineering drawings, simulation outputs, test data, or performance models.
  • Demonstrated experience in explaining complex aerospace concepts clearly to technical stakeholders through written analysis, reviews, reports, or design documentation.
  • Bachelor’s degree in Aerospace Engineering, Aeronautical Engineering, Mechanical Engineering, Astronautical Engineering, or a related field required; master’s degree or PhD preferred for highly specialized projects.
  • Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.