Mechanical Engineering

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 models — and we need mechanical engineers to make it happen. Your deep domain expertise will directly shape how AI reasons through complex engineering problems, from fluid dynamics to structural mechanics.
This is a unique opportunity to apply your engineering knowledge in a new frontier: teaching AI to think like an expert.
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 across FEA, heat transfer, kinematics, thermodynamics, and material science that push AI to its limits
Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
Audit AI Reasoning — Review AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO)
Refine Model Thinking — Identify flawed reasoning in AI outputs — such as incorrect force distributions, energy conservation violations, or faulty assumptions — and provide structured feedback to improve model performance
Who You Are
Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
Strong foundational knowledge in one or more core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
Able to communicate complex physical phenomena and technical concepts clearly and concisely in writing
Highly precise when working through mathematical derivations, unit conversions, and physical system constraints
Self-motivated and comfortable working independently on an async, flexible schedule
No prior AI experience required
Nice to Have
Experience with data annotation, data quality review, or evaluation systems
Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
Experience reviewing or auditing technical documentation or engineering workflows
Why Join Us
Work on cutting-edge AI projects with top research labs and AI teams
Fully remote and flexible — work on your own schedule, 10–40 hours/week
Freelance perks: autonomy, variety, and collaboration with experts across the globe
Make a direct, measurable impact on how AI understands engineering
Potential for ongoing work and contract extension

Work arrangement
Yes