Mechanical Engineering

Alignerr Corp.; United States; Remote; AUD 83,000 - 165,000; Full time

Job summary

Alignerr Corp. is seeking a Mechanical Engineering — AI Trainer to design and verify advanced engineering problems for AI systems. The role focuses on fluid dynamics, thermodynamics, and solid mechanics, translating complex physics into rigorous training data and benchmarks.

You will work remotely on an hourly contract, contributing to FEA, heat transfer, and material science challenges while ensuring alignment with engineering standards and high-quality documentation.

Qualifications

• Master's or PhD in Mechanical or Aerospace Engineering or closely related field.
• Strong foundations in solid mechanics, fluid mechanics, or thermodynamics.
• Ability to communicate complex physical phenomena clearly in writing.

Responsibilities

• Design domain‑specific problems across FEA, heat transfer, and fluid dynamics.
• Author gold‑standard solutions for AI learning benchmarks.
• Audit AI reasoning for technical accuracy and standards compliance.
• Document and provide feedback to improve model performance.

Skills

Solid mechanics

Fluid dynamics

Thermodynamics

CAD/CAM

Manufacturing processes

Mathematical reasoning

Education

Master's or PhD in Mechanical Engineering

Master's or PhD in Aerospace Engineering

Related field

Tools

SolidWorks

MATLAB

ANSYS

Job description

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 make it happen. If you have deep knowledge of fluid dynamics, thermodynamics, structural mechanics, or related fields, this is your chance to directly influence how the next generation of AI reasons through complex engineering problems.

Mechanical Engineering — AI Trainer

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 make it happen. If you have deep knowledge of fluid dynamics, thermodynamics, structural mechanics, or related fields, this is your chance to directly influence how the next generation of AI reasons through complex engineering problems.

This is a fully remote, flexible contract role where your expertise becomes the benchmark for AI intelligence.

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

What You'll Do

• Design Advanced Engineering Problems — Craft challenging, domain‑specific problems across FEA, heat transfer, kinematics, fluid dynamics, and material science to rigorously test AI capabilities.
• Author Gold‑Standard Solutions — Write precise, step‑by‑step technical solutions that serve as the benchmark the AI learns from.
• Audit AI Reasoning — Review AI‑generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy and compliance with engineering standards (ASME, ISO, etc.).
• Sharpen AI Thinking — Identify and document reasoning failures — such as incorrect force distributions, energy conservation violations, or flawed FEA assumptions — and provide structured feedback to improve model performance.

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 of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
• Able to communicate complex physical phenomena and mathematical reasoning clearly in writing
• Highly precise when working with derivations, unit analysis, and physical system constraints
• No prior AI experience required — if you know engineering, we'll handle the rest

Nice to Have

• Prior experience in data annotation, quality evaluation, or technical review
• Familiarity with engineering software such as SolidWorks, MATLAB, or ANSYS
• Experience reviewing or writing technical documentation to industry standards

Why Join Us

• Work on some of the most intellectually challenging problems in AI development
• Fully remote and asynchronous — work on your own schedule
• Freelance perks: autonomy, flexibility, and collaboration with experts around the world
• Contribute to work that shapes how AI understands the physical world
• Potential for ongoing work and contract extension