Mechanical Engineering

Mechanical Engineering AI Trainer
About the Role
We're looking for mechanical engineers to help train and evaluate cutting-edge AI models being developed by the world's leading AI research labs. Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from fluid dynamics to structural mechanics.
This is a rare opportunity to step outside traditional engineering work and make a lasting impact on the future of artificial intelligence — all on your own schedule, from anywhere in the world.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote

- Commitment : 10–40 hours/week

• Commitment : 10–40 hours/week

• Design Complex Engineering Problems — Craft advanced, domain-specific problems across areas like FEA, heat transfer, kinematics, fluid dynamics, thermodynamics, and material science to rigorously test AI reasoning and performance

• Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI learning, ensuring accuracy and adherence to engineering standards (ASME, ISO, etc.)

• Audit AI-Generated Outputs — Evaluate AI-produced CAD logic, thermodynamic proofs, and material specifications for technical correctness, physical plausibility, and safety

• Refine AI Reasoning — Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed material assumptions, and provide structured feedback to improve model performance

- Work Independently — Manage your own workload asynchronously with full flexibility over your schedule

• Work Independently — Manage your own workload asynchronously with full flexibility over your schedule

• 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 clearly and precisely in written form

• Highly detail-oriented — comfortable verifying mathematical derivations, unit conversions, and physical system constraints

• Self-motivated and reliable when working independently

- No prior AI experience required

• No prior AI experience required

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

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

- Familiarity with engineering simulation, FEA, or computational fluid dynamics workflows

• Familiarity with engineering simulation, FEA, or computational fluid dynamics workflows

• Work on genuinely cutting-edge AI projects alongside top research labs

• Fully remote and flexible — work when and where you want

• Gain rare, first-hand exposure to how advanced large language models (LLMs) are trained and evaluated

• Freelance autonomy: no meetings, no commute, no micromanagement

• Collaborate with a global team of technical experts

• Potential for ongoing work and contract extension