16 hours ago

AI Content Specialist, Mechanical Engineering

Alignerr

Hybrid
Contractor
$125,000
Hybrid

Job Overview

Job TitleAI Content Specialist, Mechanical Engineering
Job TypeContractor
Offered Salary$125,000
LocationHybrid

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Job Description

About Alignerr

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

As an AI Content Specialist, Mechanical Engineering, you’ll challenge advanced language models on topics like fluid dynamics, thermodynamics, structural mechanics, and mechatronics—documenting every failure mode so we can harden model reasoning.

This is an Hourly Contract position, offering 10–40 hours/week, with compensation ranging from $35–$60 per hour, and is fully remote.

What You’ll Do

  • Develop Complex Problems: Design advanced mechanical engineering problems across domains like FEA (Finite Element Analysis), heat transfer, kinematics, and material science to test AI performance.
  • Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions and "golden responses" that the AI will use as a benchmark for learning.
  • Technical Auditing: Evaluate AI-generated CAD logic, thermodynamic proofs, and material specifications for technical accuracy, safety, and adherence to engineering standards (e.g., ASME, ISO).
  • Refine Reasoning: Identify logical fallacies in AI reasoning—such as incorrect force distributions or energy conservation violations—and provide structured feedback to improve the model's "thinking" process.

Requirements

  • Advanced Degree: Masters (pursuing or completed) or PhD in Mechanical Engineering, Aerospace Engineering, or a closely related field.
  • Domain Expertise: Strong foundational knowledge in core areas such as solid mechanics, fluid mechanics, CAD/CAM, or manufacturing processes.
  • Analytical Writing: The ability to communicate highly technical concepts and complex physical phenomena clearly and concisely in written form.
  • Attention to Detail: High level of precision when checking mathematical derivations, unit conversions, and physical system constraints.
  • No AI experience required.

Preferred Qualifications

  • Prior experience with data annotation, data quality, or evaluation systems.
  • Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.

Why Join Us

  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they’re trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.

Application Process (Takes 15-20 min)

  • Submit your resume.
  • Complete a short screening.
  • Project matching and onboarding.

Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Key skills/competency

  • Mechanical Engineering
  • Fluid Dynamics
  • Thermodynamics
  • Structural Mechanics
  • FEA (Finite Element Analysis)
  • CAD/CAM
  • Material Science
  • Technical Writing
  • AI Model Evaluation
  • Engineering Standards

Tags:

mechanical engineering AI content specialist
FEA
heat transfer
kinematics
material science
CAD logic
thermodynamics
fluid dynamics
solid mechanics
manufacturing processes
technical auditing
SolidWorks
MATLAB
ANSYS
LLMs
AI models
data annotation
engineering software
machine learning
data quality
evaluation systems

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How to Get Hired at Alignerr

  • Research Alignerr's AI mission: Study their partnerships and commitment to building and training cutting-edge AI models.
  • Showcase advanced mechanical engineering expertise: Highlight your Masters or PhD, demonstrating strong foundational knowledge in areas like FEA, fluid dynamics, or CAD/CAM.
  • Emphasize analytical writing proficiency: Prepare to demonstrate your ability to clearly and concisely communicate complex technical concepts, crucial for authoring solutions.
  • Detail experience in precision and problem-solving: Provide examples of identifying technical inaccuracies, logical fallacies, or ensuring high levels of detail in engineering projects.
  • Prepare for the screening project: Anticipate a practical assessment that evaluates your skills in developing complex problems and creating rigorous ground-truth solutions.

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