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 expertise in fluid dynamics, thermodynamics, structural mechanics, and beyond will be used to challenge, evaluate, and sharpen how AI reasons through complex engineering problems.
This is a unique opportunity to sit at the intersection of engineering and artificial intelligence — no prior AI experience required.
Organization: Alignerr
Type: Hourly Contract
Location: Fully Remote
Commitment: 10–40 hours/week, flexible schedule
What You'll Do
Design Challenging Problems — Craft advanced mechanical engineering scenarios across domains like FEA, heat transfer, kinematics, and material science to probe AI performance at the edges of its knowledge.
Author Gold-Standard Solutions — Write rigorous, step-by-step technical solutions that serve as ground-truth benchmarks for AI training and evaluation.
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 & Correct Failures — Spot logical errors in AI reasoning, such as incorrect force distributions or energy conservation violations, and provide structured feedback to improve model performance.
Who You Are
Advanced Degree: Master's (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline.
Domain Expert: Strong foundational knowledge in solid mechanics, fluid mechanics, CAD/CAM, thermodynamics, or manufacturing processes.
Clear Communicator: Able to translate highly technical concepts and complex physical phenomena into precise, well-structured written explanations.
Detail-Oriented: High precision when reviewing mathematical derivations, unit conversions, and physical system constraints.
No prior AI or data annotation experience needed — we'll set you up for success.
Nice to Have
Experience with data annotation, data quality review, or evaluation workflows
Proficiency with engineering tools such as SolidWorks, MATLAB, or ANSYS
Why Join Us
Work on the frontier of AI — directly contribute to how the next generation of AI understands engineering and physics
Fully remote and flexible — work when and where you choose, on your own schedule
Freelance autonomy — no bureaucracy, just impactful technical work
Collaborate globally — connect with a diverse, expert community of technical contributors
Potential for ongoing work — strong performers are considered for contract extensions and new projects

Work arrangement
Yes