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Mechanical Engineering

Alignerr

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Alignerr
Job Type   /   Job Level
Contract   /   Others/Any
Company Location
United Kingdom
Mechanical Engineering — AI Trainer

About The Role

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to make it happen. As an AI Trainer, you'll stress-test advanced language models on complex engineering problems, expose their reasoning failures, and help define what engineering-grade AI looks like.

This is a rare opportunity to step outside traditional engineering work and directly influence how the next generation of AI understands fluid dynamics, thermodynamics, structural mechanics, and more.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

What You'll Do

  • Design Challenging Problems — Craft advanced engineering problems across domains like FEA, heat transfer, kinematics, and material science to probe the limits of AI reasoning
  • Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning
  • Audit AI Outputs — Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with standards like ASME and ISO
  • Refine AI Reasoning — Identify flawed reasoning — incorrect force distributions, energy conservation violations, unit errors — and provide structured feedback to improve model performance
  • Work Independently — Complete task-based assignments on your own schedule, asynchronously

Who You Are

  • Pursuing or completed a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
  • Strong foundational knowledge in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
  • Able to communicate complex technical concepts clearly and precisely in writing
  • High attention to detail — especially with mathematical derivations, unit conversions, and physical system constraints
  • No prior AI experience required

Nice to Have

  • Experience with data annotation, technical evaluation, or quality review workflows
  • Proficiency with engineering tools such as SolidWorks, MATLAB, or ANSYS
  • Background in applied research or engineering consulting

Why Join Us

  • Work on cutting-edge AI projects alongside top research labs
  • Fully remote and flexible — set your own hours and workload
  • Freelance autonomy with meaningful, intellectually stimulating work
  • Gain firsthand exposure to how advanced large language models are trained and evaluated
  • Potential for ongoing work and contract extension
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