About The Position

We are sharing a specialised consulting opportunity for experienced Technical Problem Authors with deep expertise across engineering domains such as aerodynamics, materials science, CAD/mechanical design, circuit design, and mechanical engineering to contribute to an advanced AI training and technical-reasoning evaluation project. Selected professionals will author sophisticated engineering problems, evaluate AI-generated technical responses, apply practical engineering judgement to real-world scenarios, and provide structured feedback that improves technical reasoning and problem-solving quality. No prior experience in AI is required.

Requirements

  • Advanced degree such as an MS or PhD in a relevant engineering discipline, or substantial equivalent industry experience
  • 8+ years of experience is highly valuable for Aerodynamics, Circuit Design, or Mechanical Engineering specialisations
  • 5+ years of experience is highly valuable for CAD or Mechanical Design specialisations
  • At least 5 years of hands-on technical experience in a relevant engineering domain
  • Strong practical expertise in areas such as mechanical design, aerodynamic analysis, materials selection, or circuit/system development
  • Demonstrated technical-problem authoring experience is highly advantageous
  • Experience with olympiad problem committees, licensure examination writing, academic qualifying examinations, standards committees, or technical competitions is especially relevant
  • Strong evidence of technical rigor through publications, patents, awards, competition results, or professional committee work is valuable
  • Professional-level English proficiency
  • Excellent written and verbal technical communication skills
  • Familiarity with relevant industry-standard tools such as AutoCAD, CAD suites, CFD/FEA software, EDA tools, or laboratory equipment
  • Strong ability to work independently in a remote project environment
  • No prior AI-training or model-evaluation experience is required

Nice To Haves

  • No prior AI is required.

Responsibilities

  • Author expert-level engineering problems within your area of specialisation
  • Develop scenarios across aerodynamics, materials science, CAD/mechanical design, circuit design, or mechanical engineering
  • Create technically rigorous problems that reflect real-world engineering complexity
  • Define clear assumptions, constraints, and expected reasoning paths
  • Avoid oversimplified or purely textbook-style exercises
  • Review AI-generated technical responses for correctness and engineering relevance
  • Assess whether proposed methods, calculations, and conclusions are technically sound
  • Identify conceptual errors, unsupported assumptions, or incomplete reasoning
  • Evaluate practical feasibility as well as theoretical correctness
  • Provide structured feedback that supports model improvement
  • Apply practical engineering judgement to design, analysis, and failure scenarios
  • Analyse complex domain-specific technical issues
  • Evaluate trade-offs across performance, reliability, manufacturability, and other engineering constraints
  • Identify ambiguities or missing information within technical problem statements
  • Propose clarifications that improve problem quality and interpretability
  • Contribute advanced knowledge from specialised engineering disciplines
  • Apply tools and methods relevant to fields such as AutoCAD, CFD, FEA, EDA, or laboratory-based engineering
  • Integrate theoretical fundamentals with practical industry experience
  • Evaluate problems using appropriate professional standards
  • Support technically diverse assignments based on project needs
  • Provide clear written explanations of technical reasoning
  • Document errors, recommendations, and solution approaches precisely
  • Explain complex engineering concepts in professional English
  • Produce feedback that can be applied consistently by technical reviewers
  • Maintain strong standards of clarity, rigor, and reproducibility
  • Collaborate remotely with technical experts and project participants
  • Review problem statements and evaluation materials for technical quality
  • Contribute recommendations for improving model performance
  • Incorporate feedback into evolving authoring and evaluation workflows
  • Deliver high-quality work within required project timelines

Benefits

  • Independent contractor engagement
  • Fully remote
  • Output-based compensation
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