Remote | Technical Problem Author; Multi-Domain

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.

• 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

• 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

• Independent contractor engagement
• Fully remote
• Displayed compensation range: $60–$110/hour
• Actual compensation structure is output-based, with…