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 expert mechanical engineers to make it happen.
As a Mechanical Engineering AI Trainer, you'll use your deep domain knowledge to challenge, evaluate, and improve how advanced AI systems reason through complex engineering problems. From fluid dynamics and thermodynamics to structural mechanics and FEA, your expertise will directly shape the next generation of AI.
This is a unique opportunity to work at the intersection of engineering and artificial intelligence — without leaving your desk.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design Complex Engineering Problems — Craft advanced, multi-domain problems spanning FEA, heat transfer, kinematics, material science, and mechatronics to rigorously test AI performance
Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
Audit AI Reasoning — Evaluate AI-generated 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 flaws in AI reasoning — such as incorrect force distributions, energy conservation violations, or faulty stress analyses — and provide structured feedback to improve model accuracy
Improve Model Thinking — Help AI systems develop stronger, more reliable reasoning processes across core mechanical engineering domains
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 of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
Able to communicate complex physical phenomena and technical concepts clearly in written form
Detail-oriented with high precision when reviewing mathematical derivations, unit conversions, and physical system constraints
Self-motivated and comfortable working independently and asynchronously
No prior AI experience required
Nice to Have
Experience with data annotation, data quality, or evaluation workflows
Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS
Familiarity with reviewing or auditing technical documentation
Why Join Us
Work on cutting-edge AI projects alongside top AI research labs
Fully remote and flexible — work on your own schedule
Gain rare, first-hand exposure to how advanced large language models (LLMs) are trained and evaluated
Freelance perks: autonomy, variety, and global collaboration
Contribute to work that meaningfully advances AI capabilities in science and engineering
Potential for ongoing work and contract extension

Work arrangement
No