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Crossing Hurdles - remotehey
Crossing Hurdles

Mechanical Engineer | Remote

canada / Posted
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Position: Mechanical Engineering Technologists and Technicians - AI Trainer

Type: Contract

Compensation: $59 - $114/hour

Location: Remote

Commitment: 10–40 hours/week


Role Responsibilities

  • Apply mechanical engineering principles to train and evaluate AI systems focused on mechanical design, manufacturing, and R&D tasks.
  • Interpret engineering sketches, blueprints, and technical drawings to improve AI model understanding and accuracy.
  • Develop test cases and datasets based on real-world mechanical systems assembly, disassembly, and troubleshooting scenarios.
  • Collaborate with engineering teams and AI developers to identify knowledge gaps and refine technical datasets.
  • Review project instructions and simulate common engineering challenges for AI learning modules.
  • Translate complex mechanical concepts into clear, structured documentation for AI training purposes.
  • Support engineers and AI trainers by addressing technical queries related to mechanical fabrication, testing, and system adjustments.


Requirements

  • Associate’s or Bachelor’s degree in Mechanical Engineering Technology or a related field.
  • Proven experience as a Mechanical Engineering Technologist, Technician, or similar role.
  • Strong ability to read and interpret engineering drawings, sketches, and technical specifications.
  • Hands-on experience assembling and troubleshooting complex mechanical systems.
  • Excellent written and verbal communication skills with the ability to clearly convey technical information.
  • Strong attention to detail and commitment to precision in documentation and technical analysis.
  • Ability to collaborate effectively in a remote, fast-paced team environment.
  • Adaptability and comfort working with digital collaboration tools.
  • Prior experience with AI, machine learning, or data annotation projects is preferred.
  • Background or exposure to automotive engineering or automotive systems is preferred.
  • Experience working within remote or distributed engineering teams is preferred.


Application Process

  • Upload resume
  • Interview (15 min)
  • Submit form