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Engineering Offres d'emploi - Angus, ON

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Engineering • angus on

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Remote Aerodynamics Engineer – AI Model Training - AI Trainer

SuperAnnotateAngus, Ontario, CA
Télétravail
Temps plein

If you’re a senior aerodynamics engineer who thrives on precision and complex technical evaluation, this is a unique opportunity to contribute directly to how advanced AI systems understand the fie...Voir plus

Remote Aerospace Engineer – AI Model Training - AI Trainer

SuperAnnotateAngus, Ontario, CA
Télétravail
Temps plein

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...Voir plus

Remote Mechanical Engineer - AI Trainer

SuperAnnotateAngus, Ontario, CA
Télétravail
Temps plein

In this hourly, remote contractor role, you will review AI-generated engineering solutions and/or generate expert Mechanical Engineering content, evaluating reasoning quality and step-by-step probl...Voir plus

Structural Engineer

Scale StaffingUtopia, ON, ca
Temps plein
Quick Apply

Our Client is leading the Canadian infrastructure market, including water transmission, bridges, storm and sanitary, tunneling and engineered precast products.With nearly 700 employees and two loca...Voir plus

Remote Aerodynamics Engineer – AI Model Training - AI Trainer

Remote Aerodynamics Engineer – AI Model Training - AI Trainer

SuperAnnotateAngus, Ontario, CA
Il y a 1 jour
Type de contrat
  • Temps plein
  • Télétravail
Description de poste

If you’re a senior aerodynamics engineer who thrives on precision and complex technical evaluation, this is a unique opportunity to contribute directly to how advanced AI systems understand the field. We’re looking for experienced specialists who can evaluate nuanced engineering concepts. You’ll challenge and evaluate advanced language models on aerodynamics-specific topics to strengthen model reasoning, accuracy, and technical communication.

Key Responsibilities :

  • Evaluate AI-generated aerodynamics explanations, calculations, assumptions, and engineering recommendations for technical correctness, clarity, and rigor.
  • Challenge advanced language models with domain-specific prompts involving fluid mechanics, aerodynamic design, CFD interpretation, wind tunnel data, aircraft performance, and related aerospace engineering topics.
  • Review and refine AI-generated prompts, model responses, worked examples, and technical explanations to ensure they reflect sound engineering reasoning.
  • Identify errors, omissions, hallucinations, and weak assumptions in AI outputs related to aerodynamic theory, simulation workflows, experimental methods, and aircraft design tradeoffs.
  • Provide structured feedback that helps improve AI model behavior, including detailed notes on reasoning gaps, terminology misuse, incomplete analysis, and unsafe or misleading conclusions.
  • Shape AI communication standards for technical aerospace content, ensuring responses are accurate, well-scoped, and appropriate for professional engineering contexts.
  • Support benchmarking efforts by designing, reviewing, or validating aerodynamics tasks that test model performance on real-world engineering reasoning.
  • Compare multiple AI-generated responses and rank them based on technical quality, completeness, correctness, and usefulness to engineering users.

Your Profile :

  • 5+ years of professional experience as an Aerodynamics Engineer, Aerospace Engineer, CFD Engineer, or closely related technical specialist.
  • Significant hands-on work with aerodynamic analysis, CFD simulation, wind tunnel testing, flight vehicle performance assessment, airfoil / wing design, or aerodynamic optimization.
  • Deep knowledge of fluid mechanics, external aerodynamics, boundary layer theory, turbulence, lift and drag generation, compressible flow, and aerodynamic scaling principles.
  • Strong understanding of CFD methodologies, meshing considerations, turbulence models, numerical convergence, validation practices, and limitations of simulation-based analysis.
  • Proven experience interpreting aerodynamic data, identifying performance tradeoffs, and communicating technical findings to engineering, research, or product teams.
  • Demonstrated experience in aerodynamic design reviews, technical documentation, test planning, model validation, or applied aerospace engineering problem solving.
  • Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Aeronautical Engineering, or a closely related field required; master’s degree or PhD preferred.
  • Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
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