Mechanical Engineering

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 mathematical derivations, unit conversions, and physical system constraints.
No prior AI experience required — if you know your engineering, we'll handle the rest.
Nice to Have
Prior experience in data annotation, quality evaluation, or technical review workflows
Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
Why Join Us
Work on genuinely cutting-edge AI projects alongside top research labs
Fully remote and flexible — work on your own schedule
Freelance autonomy with the substance of meaningful, high-impact work
Gain rare insight into how advanced large language models are trained and evaluated
Potential for ongoing work and contract extension

Work arrangement
Yes