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.
Key Responsibilities
Advanced Technical Problem Authoring
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
AI Technical Response Evaluation
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
Engineering Analysis & Problem Solving
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
Domain-Specific Technical Expertise
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
Technical Feedback & Documentation
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
Collaboration & Quality Assurance
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
Ideal Profile
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
Engagement Details
Independent contractor engagement
Fully remote
Displayed compensation range: $60–$110/hour
Actual compensation structure is output-based, with payment made per task that meets project specifications
Task completion time may vary depending on individual experience and workflow
Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
Work will involve technical problem authoring, AI-response evaluation, engineering analysis, structured feedback, and quality assurance
Assignments may span aerodynamics, materials science, CAD/mechanical design, circuit design, mechanical engineering, and related domains
Strong domain expertise and rigorous engineering judgement are central to this engagement
Roles are typically filled within approximately 48 hours
Selected experts are expected to begin initial tasks within approximately 24–48 hours after onboarding
Project scope, workload, engineering domains, and evaluation requirements may evolve depending on project needs
Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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