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 help make it happen. This is your opportunity to apply deep domain expertise in a high-impact, flexible role that goes far beyond traditional engineering work.
You'll stress-test advanced AI systems on complex mechanical engineering problems, author authoritative solutions, and provide the structured technical feedback that shapes how next-generation AI reasons through real-world physics and engineering challenges.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Advanced Engineering Problems — Create challenging, domain-spanning problems across FEA, heat transfer, fluid dynamics, kinematics, thermodynamics, and material science to probe the limits of AI reasoning.
Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as authoritative benchmarks for AI learning and evaluation.
Audit Technical Outputs — Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO).
Sharpen AI Reasoning — Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed structural assumptions, and provide structured feedback to improve model performance.
Work Independently — Manage your own schedule and workload with full flexibility across asynchronous assignments.
Who You Are
Holds or is pursuing a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
Strong foundational knowledge in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
Able to communicate complex physical phenomena and technical derivations clearly in writing
High attention to detail — precise with mathematical derivations, unit analysis, and physical system constraints
Self-directed and comfortable working independently on challenging, open-ended tasks
No prior AI experience required
Nice to Have
Experience with data annotation, technical evaluation, or quality assurance workflows
Familiarity with engineering software such as SolidWorks, ANSYS, or MATLAB
Background in reviewing or applying engineering standards and codes
Why Join Us
Work on cutting-edge AI projects alongside top research labs and teams
Fully remote and flexible — design your own schedule around your life
Freelance autonomy with meaningful, intellectually stimulating work
Gain rare, firsthand exposure to how advanced large language models are trained and evaluated
Potential for ongoing work and contract extension as new projects launch

Work arrangement
Yes