Role overview
This role focuses on applying mechanical engineering technology expertise to train and evaluate AI systems used in engineering design, manufacturing, and R&D contexts. It blends hands-on mechanical knowledge with structured communication to improve how AI models interpret technical drawings, mechanical systems, and real-world engineering challenges.
It is suited for professionals with practical experience in mechanical engineering technology who are comfortable translating complex technical concepts into structured documentation and evaluation workflows.
What you’ll actually be doing
- 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, providing feedback to improve AI model accuracy
- Develop test cases, scenarios, and datasets based on real-world mechanical systems assembly, disassembly, and troubleshooting
- Collaborate with engineering staff and AI developers to identify gaps in machine understanding and enhance technical datasets
- Review project instructions to simulate common engineering challenges for AI learning modules
- Translate complex mechanical concepts into clear, actionable data points and documentation for AI consumption
- Support engineers and AI trainers on technical queries related to mechanical fabrication, testing, or system adjustments
Who this role is for
- Mechanical Engineering Technologists, Technicians, Mechanical Designers, Process Technicians, or R&D Technicians
- Professionals with hands-on experience assembling and troubleshooting complex mechanical systems
- Individuals comfortable reading and interpreting engineering drawings, sketches, and specifications
- Candidates who can clearly communicate technical concepts in written and verbal form
- Detail-oriented professionals who value precision and accuracy in documentation and analysis
- Individuals who can adapt to a remote, collaborative, and fast-paced team environment
Who this role is likely NOT for
- Candidates without formal education in Mechanical Engineering Technology or a related field
- Professionals without practical experience in mechanical system assembly or troubleshooting
- Individuals who are not comfortable interpreting technical drawings and specifications
- Candidates who prefer non-collaborative or highly unstructured work environments
Technical background
- 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 (e.g., Mechanical Designer, Process Technician, R&D Technician)
- Strong proficiency in reading and interpreting engineering drawings, sketches, and specifications
- Demonstrated ability to assemble and troubleshoot complex mechanical systems
- Exceptional written and verbal communication skills
- Detail-oriented approach to documentation and technical analysis
Preferred (not mandatory):
- Prior experience working with AI, machine learning, or data annotation projects
- Background in automotive engineering or exposure to automotive systems
- Experience with digital collaboration tools and remote team workflows
Project scope
Focuses on simulating real-world mechanical engineering challenges to improve AI learning moduleswork
Involves training and evaluating AI systems within mechanical engineering contexts
Includes collaboration with engineering staff and AI developers to refine datasets and model performance