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
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Author expert-level engineering problems within your area of specialisation
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Develop scenarios across aerodynamics, materials science, CAD/mechanical design, circuit design, or mechanical engineering
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Create technically rigorous problems that reflect real-world engineering complexity
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Define clear assumptions, constraints, and expected reasoning paths
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Avoid oversimplified or purely textbook-style exercises
AI Technical Response Evaluation
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Review AI-generated technical responses for correctness and engineering relevance
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Assess whether proposed methods, calculations, and conclusions are technically sound
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Identify conceptual errors, unsupported assumptions, or incomplete reasoning
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Evaluate practical feasibility as well as theoretical correctness
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Provide structured feedback that supports model improvement
Engineering Analysis & Problem Solving
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Apply practical engineering judgement to design, analysis, and failure scenarios
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Analyse complex domain-specific technical issues
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Evaluate trade-offs across performance, reliability, manufacturability, and other engineering constraints
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Identify ambiguities or missing information within technical problem statements
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Propose clarifications that improve problem quality and interpretability
Domain-Specific Technical Expertise
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Contribute advanced knowledge from specialised engineering disciplines
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Apply tools and methods relevant to fields such as AutoCAD, CFD, FEA, EDA, or laboratory-based engineering
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Integrate theoretical fundamentals with practical industry experience
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Evaluate problems using appropriate professional standards
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Support technically diverse assignments based on project needs
Technical Feedback & Documentation
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Provide clear written explanations of technical reasoning
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Document errors, recommendations, and solution approaches precisely
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Explain complex engineering concepts in professional English
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Produce feedback that can be applied consistently by technical reviewers
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Maintain strong standards of clarity, rigor, and reproducibility
Collaboration & Quality Assurance
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Collaborate remotely with technical experts and project participants
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Review problem statements and evaluation materials for technical quality
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Contribute recommendations for improving model performance
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Incorporate feedback into evolving authoring and evaluation workflows
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Deliver high-quality work within required project timelines
Ideal Profile
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Advanced degree such as an MS or PhD in a relevant engineering discipline, or substantial equivalent industry experience
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8+ years of experience is highly valuable for Aerodynamics, Circuit Design, or Mechanical Engineering specialisations
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5+ years of experience is highly valuable for CAD or Mechanical Design specialisations
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At least 5 years of hands-on technical experience in a relevant engineering domain
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Strong practical expertise in areas such as mechanical design, aerodynamic analysis, materials selection, or circuit/system development
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Demonstrated technical-problem authoring experience is highly advantageous
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Experience with olympiad problem committees, licensure examination writing, academic qualifying examinations, standards committees, or technical competitions is especially relevant
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Strong evidence of technical rigor through publications, patents, awards, competition results, or professional committee work is valuable
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Professional-level English proficiency
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Excellent written and verbal technical communication skills
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Familiarity with relevant industry-standard tools such as AutoCAD, CAD suites, CFD/FEA software, EDA tools, or laboratory equipment
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Strong ability to work independently in a remote project environment
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No prior AI-training or model-evaluation experience is required
Engagement Details
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Independent contractor engagement
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Fully remote
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Displayed compensation range: $60–$110/hour
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Actual compensation structure is output-based, with payment made per task that meets project specifications
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Task completion time may vary depending on individual experience and workflow
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Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
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Work will involve technical problem authoring, AI-response evaluation, engineering analysis, structured feedback, and quality assurance
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Assignments may span aerodynamics, materials science, CAD/mechanical design, circuit design, mechanical engineering, and related domains
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Strong domain expertise and rigorous engineering judgement are central to this engagement
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Roles are typically filled within approximately 48 hours
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Selected experts are expected to begin initial tasks within approximately 24–48 hours after onboarding
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Project scope, workload, engineering domains, and evaluation requirements may evolve depending on project needs
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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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