Mechanical Engineering (Ciudad de México)

Mechanical Engineering (Ciudad de México)

15 ago
|
Alignerr
|
Ciudad de México

15 ago

Alignerr

Ciudad de México

Mechanical Engineering — AI Trainer

About The Role

We partner with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to help us do it. This is a unique opportunity to apply your deep domain knowledge in a completely new context: teaching AI how to reason through complex engineering problems.

If you have a strong foundation in fluid dynamics, thermodynamics, structural mechanics, or related disciplines, your expertise is exactly what's needed to push the boundaries of what AI can do in technical domains.

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

What You'll Do

Design Advanced Engineering Problems — Create challenging, domain-specific problems spanning FEA, heat transfer, kinematics, fluid dynamics, and material science to rigorously test AI performance.
Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that serve as the gold standard for AI learning.




Audit AI Reasoning — Evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO).
Identify and Correct Failures — Spot logical errors such as incorrect force distributions, energy conservation violations, or flawed material assumptions, and provide structured feedback to improve how the AI reasons through problems.

Who You Are

Advanced Degree — Currently pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
Deep Domain Knowledge — Strong foundations in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
Clear Technical Communicator — Able to explain complex physical phenomena and mathematical derivations in clear, concise written form.
Precision-Oriented — High attention to detail when reviewing mathematic

📌 Mechanical Engineering (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México

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