QA Engineer
Mechanical Engineering
Mexico City
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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
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