Mechanical Engineer | Remote

Summary: The Mechanical Engineering Technologist and Technician - AI Trainer role involves applying mechanical engineering principles to train and evaluate AI systems, focusing on mechanical design and manufacturing tasks. The position requires collaboration with engineering teams to enhance AI model accuracy through the interpretation of technical drawings and the development of test cases. Candidates should possess a degree in Mechanical Engineering Technology and relevant experience in mechanical systems. The role is remote and offers flexible hours between 10 to 40 hours per week.

Key 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.

Key Skills:

• 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.

Salary (Rate): £114.00/hr

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT