Mechanical Engineering Expert - AI Content Specialist

Alignerr; Auckland; Remote; NZD 83,000 - 138,000; Part time

Job summary

Alignerr is seeking a Mechanical Engineering Expert to help train and evaluate AI models across fluid dynamics, thermodynamics, and structural mechanics. Remote work with flexible hours for 10–40 hours per week.

You will design complex problems, author ground-truth solutions, audit AI reasoning, and provide feedback to improve model thinking. Prior AI experience is not required; strong engineering expertise matters.

Qualifications

• Advanced degree in mechanical or aerospace engineering required.
• Strong fundamentals in mechanics, dynamics and thermodynamics.
• Excellent written communication and attention to detail.
• No prior AI experience required; engineering expertise matters.

Responsibilities

• Design complex engineering problems across FEA, heat transfer, and material science to test AI performance.
• Author ground-truth solutions with detailed, step-by-step technical reasoning.
• Audit AI outputs for technical accuracy and physical validity.
• Identify logical errors in AI reasoning and provide structured feedback.
• Work independently and asynchronously on your own schedule.

Skills

Solid mechanics

Fluid mechanics

Thermodynamics

CAD/CAM

Manufacturing processes

Education

Master's or PhD in Mechanical Engineering or Aerospace Engineering

Tools

SolidWorks

MATLAB

ANSYS

Job description

Mechanical Engineering Expert (AI Training)

About The Role

We're looking for mechanical engineering experts to help train and evaluate cutting-edge AI models. Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from fluid dynamics and thermodynamics to structural mechanics and beyond.

This is a unique opportunity to sit at the intersection of engineering and artificial intelligence, contributing to some of the most advanced AI research happening today.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Complex Engineering Problems — Craft advanced, domain-specific challenges across areas like FEA (Finite Element Analysis), heat transfer, kinematics, fluid dynamics, and material science to rigorously test AI performance
• Author Ground-Truth Solutions — Develop detailed, step-by-step technical solutions that serve as gold-standard benchmarks for AI learning and evaluation
• Audit AI Reasoning — Evaluate AI-generated outputs — including CAD logic, thermodynamic proofs, and material specifications — for technical accuracy, physical validity, and compliance with engineering standards (ASME, ISO, etc.)
• Improve Model Thinking — Identify logical errors in AI reasoning, such as incorrect force distributions, energy conservation violations, or flawed kinematic assumptions, and provide structured feedback to improve model performance
• Work independently and asynchronously on your own schedule

Who You Are

• 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 core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
• Able to communicate highly technical concepts clearly and precisely in written form
• Meticulous attention to detail — especially when working with mathematical derivations, unit analysis, and physical system constraints
• No prior AI experience required — your engineering expertise is what matters

Nice to Have

• Prior experience with data annotation, technical writing, or evaluation systems
• Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS
• Familiarity with AI or language model evaluation workflows

Why Join Us

• Work on cutting-edge AI projects alongside top research labs and AI teams
• Fully remote and flexible — work on your own schedule, from anywhere
• Gain rare, firsthand exposure to how advanced large language models (LLMs) are trained and evaluated
• Freelance perks: autonomy, intellectual variety, and collaboration with a global network of experts
• Potential for ongoing work and contract extension