Mechanical Engineering

Alignerr Corp.; Auckland; Teletrabalho; NZD 148 000 - 221 000; Tempo parcial

Resumo da oferta

Alignerr is seeking a Mechanical Engineering AI Trainer to design challenging engineering problems and author ground-truth solutions for AI models. This remote, hourly contract offers flexible, asynchronous work 10–40 hours per week across multiple projects.

You will stress-test AI systems on classical mechanical problems, audit outputs for safety and standards (ASME, ISO), and provide structured feedback to improve model reasoning. No AI experience required.

Qualificações

• Pursuing or holding a Master's/PhD in mechanical or aerospace engineering.
• Strong knowledge in solid/fluid mechanics, thermodynamics, CAD/CAM.
• Ability to communicate complex phenomena in writing.

Responsabilidades

• Design Advanced Engineering Problems across FEA, heat transfer, fluids, kinematics, thermodynamics, and material science.
• Author Ground-Truth Solutions with step-by-step technical detail.
• Audit AI outputs for CAD logic, thermodynamics proofs, and material specs.
• Sharpen AI reasoning by giving structured feedback on errors and assumptions.
• Work independently with flexible, asynchronous scheduling.

Conhecimentos

Solid Mechanics

Fluid Mechanics

Thermodynamics

CAD/CAM

Manufacturing Processes

Formação académica

Master's or PhD in Mechanical or Aerospace Engineering

Ferramentas

SolidWorks

ANSYS

MATLAB

Descrição da oferta de emprego

About The Role

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to help make it happen. This is your opportunity to apply deep domain expertise in a high-impact, flexible role that goes far beyond traditional engineering work.

Mechanical Engineering AI Trainer

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI models — and we need mechanical engineers to help make it happen. This is your opportunity to apply deep domain expertise in a high-impact, flexible role that goes far beyond traditional engineering work.

You'll stress-test advanced AI systems on complex mechanical engineering problems, author authoritative solutions, and provide the structured technical feedback that shapes how next-generation AI reasons through real-world physics and engineering challenges.

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

What You'll Do

• Design Advanced Engineering Problems — Create challenging, domain-spanning problems across FEA, heat transfer, fluid dynamics, kinematics, thermodynamics, and material science to probe the limits of AI reasoning.
• Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions that serve as authoritative benchmarks for AI learning and evaluation.
• Audit Technical Outputs — Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for accuracy, safety, and compliance with engineering standards (e.g., ASME, ISO).
• Sharpen AI Reasoning — Identify logical errors such as incorrect force distributions, energy conservation violations, or flawed structural assumptions, and provide structured feedback to improve model performance.
• Work Independently — Manage your own schedule and workload with full flexibility across asynchronous assignments.

Who You Are

• Holds or is pursuing a Master's or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field
• Strong foundational knowledge in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
• Able to communicate complex physical phenomena and technical derivations clearly in writing
• High attention to detail — precise with mathematical derivations, unit analysis, and physical system constraints
• Self-directed and comfortable working independently on challenging, open-ended tasks
• No prior AI experience required

Nice to Have

• Experience with data annotation, technical evaluation, or quality assurance workflows
• Familiarity with engineering software such as SolidWorks, ANSYS, or MATLAB
• Background in reviewing or applying engineering standards and codes

Why Join Us

• Work on cutting-edge AI projects alongside top research labs and teams
• Fully remote and flexible — design your own schedule around your life
• Freelance autonomy with meaningful, intellectually stimulating work
• Gain rare, firsthand exposure to how advanced large language models are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch