Mechanical Engineering

Alignerr; Seattle (WA); Remote; USD 55,000 - 110,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Contract work

Job summary

Alignerr Corp. is seeking a Mechanical Engineering AI Trainer to design domain-specific challenges and verify AI models' engineering reasoning. This fully remote, hourly contract role suits engineers comfortable with complex analytics.

You'll craft gold-standard solutions, audit CAD and thermodynamics outputs, and provide precise feedback to improve model safety and accuracy. Ideal candidates hold a master's or PhD in mechanical or aerospace engineering and have strong communication skills.

Qualifications

• Master's degree (in progress or completed) or PhD in Mechanical or Aerospace Engineering.
• Strong foundation in solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
• Excellent technical communication and ability to explain complex concepts clearly.
• Meticulous with proofs, unit conversions, and design constraints.

Responsibilities

• Design advanced engineering problems spanning FEA, heat transfer, and fluid dynamics.
• Author ground-truth solutions and golden responses for AI training.
• Audit AI outputs for CAD logic, thermodynamics, and materials accuracy.
• Identify and correct reasoning failures with structured feedback.

Skills

Solid mechanics

Fluid mechanics

Thermodynamics

CAD/CAM

Manufacturing processes

Technical communication

Attention to detail

Education

Master's degree or PhD in Mechanical or Aerospace Engineering

Tools

SolidWorks

ANSYS

MATLAB

Job description

Mechanical Engineering AI Trainer

We're partnering with the world's leading AI research labs to build smarter, more technically rigorous AI systems — and we need mechanical engineers to make it happen. As a Mechanical Engineering AI Trainer, you'll put your deep domain expertise to work by challenging, auditing, and refining how advanced AI models reason through real engineering problems.

Organization

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

What You'll Do

• Design Complex Engineering Problems — Craft advanced, domain-specific challenges spanning FEA (Finite Element Analysis), heat transfer, fluid dynamics, kinematics, thermodynamics, and material science to rigorously test AI capabilities.
• Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions and benchmark "golden responses" that AI models learn from and are evaluated against.
• Audit Technical Reasoning — Review AI-generated outputs including CAD logic, thermodynamic derivations, and material specifications for accuracy, safety, and compliance with engineering standards (ASME, ISO, etc.).
• Identify and Correct Reasoning Failures — Spot logical errors such as incorrect force distributions, energy conservation violations, or flawed kinematic assumptions, and provide structured feedback that directly improves AI reasoning.

Who You Are

• Highly Educated in the Field — Master's degree (in progress or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related discipline.
• Deep Domain Knowledge — Strong foundational expertise in one or more of: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes.
• A Clear Technical Communicator — Able to translate complex physical phenomena and mathematical derivations into clear, structured written explanations.
• Precise and Detail-Oriented — Meticulous when reviewing mathematical proofs, unit conversions, boundary conditions, and physical system constraints.
• No AI experience required — if you know engineering, we'll handle the rest.

Nice to Have

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

Why Join Us

• Work on the Cutting Edge — Collaborate directly with teams building the most advanced AI models in the world.
• Full Flexibility — Work remotely on your own schedule, fitting the role around your existing commitments.
• Meaningful Impact — Your engineering expertise directly shapes how AI understands and reasons about the physical world.
• Autonomy — No micromanagement. You own your work and deliver with independence.
• Freelance Freedom — Enjoy the perks of contract work: flexibility, variety, and global collaboration.
• Potential for Ongoing Work — High-quality contributors are regularly offered contract extensions.