9 days ago

Mechanical Engineering AI Trainer

Micro1

Hybrid
Full Time
$75,000
Hybrid

Job Overview

Job TitleMechanical Engineering AI Trainer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$75,000
LocationHybrid

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Job Description

Job Summary

Join micro1's customer's team as a Mechanical Engineering AI Trainer, where your expertise will shape the next generation of AI tools in mechanical engineering. In this innovative role, you will blend hands-on technical experience with your keen communication skills to develop and enhance AI models that support engineering design, testing, and troubleshooting.

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, providing critical 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 other engineers and AI trainers on technical queries related to mechanical fabrication, testing, or system adjustments.

Required Skills and Qualifications

  • 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, with the ability to convey technical concepts clearly.
  • Detail-oriented mindset with a passion for precision and accuracy in documentation and analysis.
  • Adaptability to work in a remote, collaborative, and fast-paced team environment.

Preferred Qualifications

  • 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.

Key skills/competency

  • Mechanical Engineering Principles
  • AI Model Training
  • Engineering Drawings Interpretation
  • Technical Troubleshooting
  • Data Annotation
  • Collaborative Communication
  • Research & Development (R&D)
  • Mechanical Systems Assembly
  • Digital Collaboration Tools
  • Detail-Oriented Analysis

Tags:

Mechanical Engineering AI Trainer
mechanical engineering
AI training
engineering design
troubleshooting
data interpretation
R&D support
technical documentation
test case development
collaboration
model evaluation
AI models
machine learning
digital collaboration tools
engineering software
data analysis
CAD
simulation
dataset development
remote workflows
cloud platforms

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How to Get Hired at Micro1

  • Research micro1's vision: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their innovation in AI and engineering.
  • Tailor your resume: Customize your application to highlight mechanical engineering expertise, AI exposure, and proven remote collaboration skills for this Mechanical Engineering AI Trainer role.
  • Showcase technical prowess: Emphasize your proficiency in interpreting engineering drawings, designing mechanical systems, and troubleshooting complex technical issues during your interview.
  • Prepare for AI-centric questions: Be ready to discuss your understanding of AI model training, data annotation, and how mechanical engineering principles apply to AI development.
  • Demonstrate communication skills: Practice articulating complex mechanical concepts clearly and concisely, as this is vital for translating data points for AI consumption and team collaboration.

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