Senior Machine Learning Expert (AI Training) About the Role What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions?
Mechanical Engineering
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.
- 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
Nice to Have
- 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
Why Join Us
- 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
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