Mechanical Engineering AI Trainer

About The Role

We partner with the world's leading AI research labs to build smarter, more reliable AI systems — and we need mechanical engineers to make it happen. As a Mechanical Engineering AI Trainer, you'll use your deep technical expertise to challenge, evaluate, and improve how advanced AI models reason through complex engineering problems.

This is a unique opportunity to sit at the intersection of engineering and artificial intelligence — contributing directly to the next generation of AI tools used by engineers and researchers worldwide.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Design Advanced Engineering Problems — Craft challenging problems across fluid dynamics, thermodynamics, FEA, heat transfer, kinematics, and material science to rigorously test AI performance
Author Gold-Standard Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI training and evaluation
Audit AI Reasoning — Review AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.)
Refine Model Thinking — Identify and document logical errors in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed structural assumptions — and provide structured feedback to improve model quality
Document Failure Modes — Systematically capture how and where AI models break down so engineering teams can address weaknesses

Who You Are

Advanced Degree — Master's (in progress or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline
Deep Domain Knowledge — Strong foundational expertise in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
Technical Communicator — Able to explain complex physical phenomena and mathematical reasoning clearly and concisely in writing
Precision-Oriented — High attention to detail when reviewing derivations, unit conversions, boundary conditions, and physical constraints
No AI experience required — Your engineering expertise is what matters

Nice to Have

Experience with data annotation, data quality, or technical evaluation workflows
Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS
Familiarity with FEA solvers or CFD simulation environments
Prior technical writing or peer review experience

Why Join Us

Work on cutting-edge AI projects with top research labs around the world
Fully remote and flexible — work on your own schedule, 10–40 hours per week
Freelance autonomy with meaningful, intellectually stimulating work
Directly influence how AI understands and reasons through engineering challenges
Potential for ongoing work and contract extension

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