Mechanical Engineering

Mechanical Engineering AI Trainer
About The Role
We partner 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 a unique opportunity to apply your deep engineering knowledge in a cutting-edge AI context, working remotely on your own schedule.
You'll put advanced AI models through their paces across fluid dynamics, thermodynamics, structural mechanics, and more — designing problems that expose the limits of AI reasoning and crafting the gold-standard solutions that help these models improve.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Challenging Problems — Create advanced mechanical engineering problems spanning FEA, heat transfer, kinematics, material science, and mechatronics to stress-test AI model performance
Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
Audit Technical Reasoning — Review AI-generated CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.)
Refine AI Thinking — Identify flaws in AI reasoning — such as incorrect force distributions, energy conservation violations, or faulty material assumptions — and provide structured feedback to improve model outputs
Who You Are
Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline
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 reasoning clearly and concisely in writing
Highly precise when working with mathematical derivations, unit conversions, and physical system constraints
Self-motivated and comfortable working independently in an async remote environment
No prior AI experience required — your engineering expertise is what matters
Nice to Have
Experience with data annotation, technical evaluation, or quality assurance workflows
Proficiency with engineering tools such as SolidWorks, MATLAB, or ANSYS
Familiarity with AI or machine learning concepts
Why Join Us
Work on genuinely cutting-edge AI projects alongside world-class research teams
Fully remote and flexible — set your own hours and workload
Gain rare, first-hand exposure to how large language models are trained and evaluated
Freelance autonomy with the backing of a professional, globally collaborative team
Potential for ongoing contract extension as projects grow

Work arrangement
Yes