9 days ago

Mechanical Designer

Keystone Recruitment

Hybrid
Contractor
$180,000
Hybrid

Job Overview

Job TitleMechanical Designer
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$180,000
LocationHybrid

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Job Description

Mechanical Designer (Remote) at Keystone Recruitment

We are seeking a skilled Mechanical Engineering Technologist or Technician to contribute subject matter expertise to advanced AI model training initiatives. In this remote role, you will combine hands-on mechanical experience with analytical and communication skills to improve AI systems that support mechanical design, testing, manufacturing, and troubleshooting. Your real-world technical knowledge will directly enhance the accuracy and reliability of next-generation engineering tools.

Key Responsibilities

  • Apply core mechanical engineering principles to train and evaluate AI models focused on design, manufacturing, and R&D applications.
  • Interpret engineering drawings, blueprints, schematics, and specifications to validate and refine AI-generated outputs.
  • Develop structured datasets and real-world test scenarios based on mechanical assembly, disassembly, diagnostics, and troubleshooting workflows.
  • Review AI model responses for technical accuracy, feasibility, and adherence to engineering standards.
  • Translate complex mechanical systems and fabrication processes into clear documentation for AI training purposes.
  • Identify gaps in AI understanding and recommend targeted improvements.
  • Collaborate remotely with engineers, developers, and AI specialists to continuously enhance training materials.

Required Skills and Qualifications

  • Associate’s or Bachelor’s degree in Mechanical Engineering Technology or related discipline.
  • Proven experience as a Mechanical Engineering Technologist, Technician, Mechanical Designer, or similar role.
  • Strong ability to read and interpret technical drawings, schematics, and mechanical specifications.
  • Hands-on experience assembling, testing, and troubleshooting mechanical systems.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and commitment to precision in documentation.
  • Comfortable working independently in a remote, collaborative environment.

Preferred Qualifications

  • Experience contributing to AI model training, machine learning initiatives, or technical data annotation.
  • Background in automotive, manufacturing, industrial systems, or R&D environments.
  • Familiarity with digital collaboration tools and remote engineering workflows.

Key Skills/Competency

  • Mechanical Engineering Principles
  • AI Model Training
  • Engineering Drawings Interpretation
  • Technical Documentation
  • Mechanical Assembly/Troubleshooting
  • Data Annotation
  • System Diagnostics
  • Manufacturing Processes
  • R&D Applications
  • Collaboration Tools

Tags:

Mechanical Designer
Mechanical Engineering
AI Training
Machine Learning
Technical Documentation
System Troubleshooting
Data Annotation
R&D
Manufacturing
Engineering Principles
CAD Software
Digital Collaboration
AI Models
ML Algorithms
Data Validation
Prototyping
Testing
Diagnostic Tools
Cloud Platforms
Version Control

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How to Get Hired at Keystone Recruitment

  • Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your Mechanical Designer resume: Customize your resume to highlight experience in mechanical engineering technology, AI model training, and technical documentation, using keywords from the job description.
  • Showcase relevant projects: Prepare examples of your hands-on experience with mechanical assembly, troubleshooting, or interpreting complex engineering drawings, demonstrating your practical skills.
  • Master remote collaboration tools: Emphasize your proficiency with digital collaboration tools and ability to thrive in an independent, remote work environment during interviews.
  • Prepare for technical AI discussions: Be ready to discuss how your mechanical expertise can directly contribute to improving AI systems for design, manufacturing, and R&D applications.

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