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. As a Mechanical Engineering AI Trainer, you'll use your deep domain expertise to challenge, evaluate, and improve how AI reasons through complex engineering problems.
This is a unique opportunity to work at the intersection of engineering and artificial intelligence — no AI background required.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Advanced Engineering Problems — Create challenging, real-world problems spanning fluid dynamics, thermodynamics, FEA, heat transfer, kinematics, and material science to rigorously test AI performance
Author Gold-Standard Solutions — Write detailed, step-by-step technical solutions that serve as benchmarks for AI learning and model evaluation
Audit AI Reasoning — Review and 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 & Fix Reasoning Failures — Spot logical errors such as incorrect force distributions or energy conservation violations, and provide structured feedback to improve the model's reasoning process
Work Flexibly and Independently — Complete task-based assignments on your own schedule, fully remote
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 technical concepts and physical phenomena clearly in written form
Highly precise — you catch errors in mathematical derivations, unit conversions, and physical system constraints
Self-motivated and comfortable working independently in an async environment
No prior AI experience required
Nice to Have
Prior experience with data annotation, data quality, or AI evaluation systems
Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS
Familiarity with evaluating or reviewing technical code or simulation workflows
Why Join Us
Work on cutting-edge AI projects with top AI research labs and teams
Fully remote and flexible — work on your own schedule, anywhere in the world
Freelance perks: autonomy, variety, and global collaboration
Gain first-hand exposure to how advanced large language models (LLMs) are trained and evaluated
Make a meaningful impact by improving how AI understands and applies engineering knowledge
Potential for ongoing work and contract extension

Work arrangement
Yes