Mechanical Engineering

Mechanical Engineering – AI Trainer
About the Role
We're looking for mechanical engineers 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 FEA.
This is a unique opportunity to sit at the intersection of engineering and artificial intelligence, contributing to some of the most advanced AI systems being built today.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote

- Commitment : 10–40 hours/week

• Commitment : 10–40 hours/week

• Design Complex Engineering Problems — Craft advanced, multi-domain challenges across areas like FEA, heat transfer, kinematics, and material science to rigorously test AI performance

• Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that AI models use as a gold standard for learning

• Audit AI Reasoning — 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)

- Refine Model Thinking — Identify logical errors in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed failure analysis — and provide structured feedback to strengthen model performance

• Refine Model Thinking — Identify logical errors in AI reasoning — such as incorrect force distributions, energy conservation violations, or flawed failure analysis — and provide structured feedback to strengthen model performance

• Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline

• Strong foundational expertise in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes

• Able to communicate complex physical phenomena and mathematical concepts clearly and concisely in writing

• Highly detail-oriented — comfortable checking derivations, unit conversions, and physical system constraints with precision

- No prior AI experience required

• No prior AI experience required

• Experience with data annotation, data quality, or evaluation workflows

• Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS

- Familiarity with evaluating simulation outputs or AI-generated technical code

• Familiarity with evaluating simulation outputs or AI-generated technical code

• Work on genuinely cutting-edge AI projects in collaboration with world-leading research labs

• Fully remote and flexible — work on your own schedule, from anywhere

• Freelance autonomy with the opportunity to contribute to meaningful, high-impact work

• Gain rare insight into how advanced large language models (LLMs) are trained and improved

• Potential for ongoing work and contract extension