Mechanical Engineering

Alignerr; Vancouver; Remote; CAD 55,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Contract based on hours

Job summary

Alignerr is seeking a Mechanical Engineering AI Trainer to challenge and improve AI reasoning on complex engineering problems. You will design real-world problems, author benchmark solutions, and audit AI outputs for accuracy and safety.

Remote, hourly contract with 10–40 hours per week. Strong background in mechanics, CAD, and data-driven evaluation is required; experience with SolidWorks, MATLAB, or ANSYS is a plus.

Qualifications

• Pursuing or holding a Master's or PhD in Mechanical or Aerospace Engineering or related field.
• Strong fundamentals in core areas such as solid/fluid mechanics, thermodynamics, CAD/CAM.
• Ability to communicate complex concepts clearly in writing.

Responsibilities

• Design advanced engineering problems spanning multiple domains to test AI.
• Write gold-standard solutions with detailed, step-by-step reasoning.
• Audit AI outputs for technical accuracy and safety with standards (ASME, ISO).
• Identify and fix reasoning failures with structured feedback.
• Work independently in a fully remote, async environment.

Skills

Master's or PhD in ME/AE

Solid mechanics

Fluid mechanics

CAD/CAM

Independent work

Strong written communication

Education

Master's or PhD in Mechanical/Aerospace Engineering

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 help make it happen. As a Mechanical Engineering AI Trainer, you'll use your deep domain expertise to challenge, evaluate, and improve how 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 help make it happen. As a Mechanical Engineering AI Trainer, you'll use your deep domain expertise to challenge, evaluate, and improve how AI reasons through complex engineering problems.

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

What You'll Do

• Design Advanced Engineering Problems — Create challenging, real-world problems spanning fluid dynamics, thermodynamics, FEA, heat transfer, kinematics, and material science to rigorously test AI performance
• Author Gold-Standard Solutions — Write detailed, step-by-step technical solutions that serve as benchmarks for AI learning and model evaluation
• Audit AI Reasoning — Review and 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)
• Identify & Fix Reasoning Failures — Spot logical errors such as incorrect force distributions or energy conservation violations, and provide structured feedback to improve the model's reasoning process
• Work Flexibly and Independently — Complete task-based assignments on your own schedule, fully remote

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 core areas: solid mechanics, fluid mechanics, thermodynamics, CAD/CAM, or manufacturing processes
• Able to communicate complex technical concepts and physical phenomena clearly in written form
• Highly precise — you catch errors in mathematical derivations, unit conversions, and physical system constraints
• Self-motivated and comfortable working independently in an async environment
• No prior AI experience required

Nice to Have

• Prior experience with data annotation, data quality, or AI evaluation systems
• Proficiency with engineering software such as SolidWorks, MATLAB, or ANSYS
• Familiarity with evaluating or reviewing technical code or simulation workflows

Why Join Us

• Work on cutting-edge AI projects with top AI research labs and teams
• Fully remote and flexible — work on your own schedule, anywhere in the world
• Freelance perks: autonomy, variety, and global collaboration
• Gain first-hand exposure to how advanced large language models (LLMs) are trained and evaluated
• Make a meaningful impact by improving how AI understands and applies engineering knowledge
• Potential for ongoing work and contract extension