Mechanical Engineering

Job summary

Mechanical Engineering AI Trainer About The Role We're looking for mechanical engineering experts to help train and improve cutting-edge AI models. Your technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from fluid dynamics and thermodynamics to structural mechanics and FEA. This is a unique opportunity to apply your advanced engineering expertise in a new and impactful way, working alongside world-leading AI research teams from the comfort of your own home. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment:…

Job details

Mechanical Engineering AI Trainer About The Role We're looking for mechanical engineering experts to help train and improve cutting-edge AI models. Your technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from fluid dynamics and thermodynamics to structural mechanics and FEA. This is a unique opportunity to apply your advanced engineering expertise in a new and impactful way, working alongside world-leading AI research teams from the comfort of your own home. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design Complex Engineering Problems — Create advanced, domain-specific challenges across areas like finite element analysis (FEA), heat transfer, kinematics, thermodynamics, and material science to rigorously test AI performance Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark responses that guide the AI's learning process 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 or energy conservation violations — and deliver structured feedback that improves how the model approaches engineering problems Who You Are Pursuing or holding a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field Deep 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 Meticulous attention to detail when reviewing mathematical derivations, unit conversions, and physical system constraints No prior AI experience required — if you know engineering, we'll handle the rest Nice to Have Prior experience with data annotation, data quality, or evaluation workflows Proficiency in engineering software such as SolidWorks, MATLAB, or ANSYS Experience reviewing or auditing technical documentation to engineering standards Why Join Us Work on genuinely cutting-edge AI projects with top research labs and AI teams Fully remote and flexible — set your own schedule and work at your own pace Gain firsthand exposure to how advanced large language models (LLMs) are built and trained Freelance autonomy with the support of a collaborative, global team Potential for ongoing work and contract extension based on performance

What you’ll do

Design complex engineering problems to test AI performance and author ground-truth solutions to guide AI learning. Audit AI reasoning for technical accuracy and refine model thinking by identifying logical errors.

Requirements

Candidates should hold or be pursuing a Master's or PhD in Mechanical Engineering or a related field, with deep knowledge in core engineering areas. Strong communication skills and attention to detail are essential, while prior AI experience is not required.

Benefits

• Fully remote work • Flexible schedule, set your own hours • Freelance autonomy with global team support • Potential for contract extension

Listed skills

• collaborative · Preferred
• Technical · Preferred
• analysis · Preferred
• Organization · Preferred
• Attention to detail · Preferred
• Teams · Preferred
• Communication · Preferred
• Accuracy · Preferred
• mechanics · Preferred
• Audit · Preferred
• Communication Skills · Preferred
• Flexible · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Mechanical Engineering
• Fluid Dynamics
• Thermodynamics
• Structural Mechanics
• Finite Element Analysis
• CAD
• Data Annotation
• Technical Documentation
• SolidWorks
• MATLAB
• ANSYS
• Attention to Detail
• Communication
• Problem Solving
• Model Evaluation
• Benchmarking