Mechanical Engineering Expert - AI Content Specialist

Alignerr Corp.

Atlanta (GA)

Remote

USD 83,000 - 165,000

Part time

22 hours ago
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Job summary

Alignerr Corp. is seeking a Mechanical Engineering Expert for AI training, focusing on advanced mechanical analysis, CAD/CAM, and thermodynamics. This remote hourly contract role emphasizes rigorous problem design and high-precision evaluation of AI-driven engineering solutions.

You will develop benchmarks, review CAD logic and thermodynamic proofs, and provide targeted feedback to improve AI reasoning. A Master’s or PhD in ME or AE is preferred, with independent work capability and strong

Qualifications

  • Master's or PhD in Mechanical or Aerospace Engineering required.
  • Strong fundamentals in solid/fluid mechanics and heat transfer.
  • Experience with CAD/CAM tools and engineering simulations.
  • Excellent written communication and ability to work independently in async environments.

Responsibilities

  • Design complex engineering problems spanning FEA, heat transfer, kinematics, fluids and materials.
  • Author detailed, step-by-step solutions for AI training benchmarks.
  • Audit AI reasoning for CAD logic, thermodynamic proofs and material specs against standards.
  • Provide structured feedback to improve model outputs and reasoning.

Skills

Masters/PhD in Mechanical/Aerospace
Solid mechanics
Fluid mechanics
CAD/CAM
Thermodynamics
Manufacturing processes
Technical writing
Independent work

Education

Master's or PhD in Mechanical Engineering
Master's or PhD in Aerospace Engineering

Tools

SolidWorks
MATLAB
ANSYS

Job description

Mechanical Engineering Expert (AI Training)
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 Expert, your deep knowledge of fluid dynamics, thermodynamics, structural mechanics, and more will directly shape how next-generation AI reasons through complex engineering problems. This is a rare opportunity to work at the intersection of engineering and artificial intelligence — without leaving your home.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design Complex Engineering Problems — Craft advanced, multi-domain problems spanning FEA, heat transfer, kinematics, fluid dynamics, and material science to rigorously stress-test AI performance
  • Author Ground-Truth Solutions — Develop detailed, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
  • Audit AI Reasoning — Review AI-generated outputs including CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and compliance with standards such as ASME and ISO
  • Refine AI Thinking — Identify flaws in AI reasoning — such as incorrect force distributions or energy conservation violations — and deliver structured feedback to improve model outputs
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, CAD/CAM, thermodynamics, or manufacturing processes
  • Able to communicate complex physical phenomena and technical concepts clearly and concisely in writing
  • Highly precise when working with mathematical derivations, unit conversions, and physical system constraints
  • Self-motivated and comfortable working independently in an asynchronous environment
  • No prior AI experience required
Nice to Have
  • Experience with data annotation, technical writing, or evaluation systems
  • Proficiency in 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 AI research labs
  • Fully remote and flexible — work on your own schedule
  • Freelance perks: autonomy, variety, and global collaboration
  • Make a meaningful impact on how AI understands and applies engineering knowledge
  • Potential for ongoing work and contract extension
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