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 adaptable — 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

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