Remote | Technical Problem Author (Multi-Domain) - $60–$110/hour
- New York, United States
- New York, NY, United States
• Displayed compensation range: $60–$110/hour
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Job details
- Pay
- • Displayed compensation range: $60–$110/hour
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- Posting language
- English
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Original job description
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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