Alignerr
Mechanical Engineering
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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 systems — and we need mechanical engineers to make it happen. As a Mechanical Engineering AI Trainer, you'll put your deep domain expertise to work designing challenging problems, auditing AI reasoning, and helping next-generation models think like real engineers.
This is a rare opportunity to directly influence how AI understands and applies the physical world — from fluid dynamics and thermodynamics to structural mechanics and beyond.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Engineering Problems — Create rigorous, multi-step problems across domains like FEA, heat transfer, kinematics, and material science to stress-test AI performance at the frontier of technical reasoning.
- Author Ground-Truth Solutions — Develop detailed, step-by-step benchmark solutions that AI models use as a gold standard for learning and evaluation.
- Audit AI Technical Reasoning — Review AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO).
- Refine Model Thinking — Identify flaws in AI reasoning such as incorrect force distributions, energy conservation errors, or invalid assumptions, and provide structured feedback that meaningfully improves model performance.
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Who You Are
- Advanced Degree: Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
- Deep Domain Knowledge: Strong foundational expertise in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
- Clear Technical Communicator: Able to articulate complex physical phenomena and engineering reasoning in precise, well-structured written form.
- Detail-Oriented: High precision when reviewing mathematical derivations, unit analysis, and physical system constraints.
- No prior AI experience required — if you understand engineering, we'll handle the rest.
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Bonus Points
- Experience with data annotation, technical evaluation, or quality assurance workflows
- Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS
- Familiarity with evaluating simulation outputs or computational workflows
Why Join Us
- Work on cutting-edge AI — Collaborate directly with teams building some of the world's most advanced AI systems
- Fully remote and flexible — Work on your own schedule, from anywhere
- Freelance autonomy — Choose your hours and workload within the 10–40 hour range
- Meaningful impact — Your engineering expertise directly shapes how AI reasons about the physical world
- Ongoing opportunities — Strong performers are considered for contract extensions and future projects
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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