Mechanical Engineering
Chicago, IL · Remote
... like FEA, heat transfer, kinematics, fluid dynamics, thermodynamics, and material science to ... Freelance autonomy: no meetings, no commute, no micromanagement * Collaborate with a global team of ...
Mechanical Engineering
Chicago, IL · Remote
... like FEA, heat transfer, kinematics, fluid dynamics, thermodynamics, and material science to ... Freelance autonomy: no meetings, no commute, no micromanagement * Collaborate with a global team of ...
Craft challenging mechanical engineering problems spanning FEA, heat transfer, kinematics, material ... Freelance perks: autonomy, variety, and collaboration with experts across the globe * Potential for ...
Craft challenging mechanical engineering problems spanning FEA, heat transfer, kinematics, material ... Freelance perks: autonomy, variety, and collaboration with experts across the globe * Potential for ...
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Full-time
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Job description
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.
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 What You'll Do - 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 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 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
- 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
- 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