Mechanical Engineering Expert - AI Content Specialist

Mechanical Engineering Expert (AI Training)
About The Role
We're looking for mechanical engineering specialists to help train and improve cutting-edge AI models. Your deep technical knowledge will directly shape how AI reasons through complex engineering problems — from fluid dynamics and thermodynamics to structural mechanics and beyond.
This is a unique opportunity to apply your advanced engineering expertise in a new and impactful way, working alongside top AI research teams to make next-generation models smarter, safer, and more technically rigorous.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Complex Engineering Problems — Craft advanced, domain-specific challenges across areas like FEA (Finite Element Analysis), heat transfer, fluid dynamics, kinematics, and material science to rigorously stress-test AI performance
Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that AI systems use as learning references
Audit Technical Reasoning — Evaluate AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO)
Refine AI Thinking — Identify and document logical failures in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed material assumptions — and provide structured feedback to improve model performance
Who You Are
Holds a Master's (in progress or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline
Strong foundational expertise 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 and precisely in writing
Meticulous attention to detail when reviewing mathematical derivations, unit conversions, and physical system constraints
No prior AI experience required — your engineering knowledge is what matters
Nice to Have
Prior experience with data annotation, data quality assessment, or evaluation systems
Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS
Familiarity with AI or language model evaluation workflows
Why Join Us
Work on some of the most advanced AI projects in the world alongside leading research labs
Fully remote and flexible — set your own schedule and work when it suits you
Freelance perks: autonomy, variety, and collaboration with a global community of experts
Contribute to meaningful work that pushes the boundaries of what AI can understand and reason through
Potential for ongoing work and contract extension

Work arrangement
Yes