We are sharing a specialised part-time consulting opportunity for engineers, technical researchers, and subject-matter experts with advanced knowledge of engineering principles, applied mathematics, technical systems, and domain-specific engineering practice.
This role supports an AI research initiative focused on developing rigorous engineering benchmarks. Selected experts will author or verify challenging multiple-choice assessment content, evaluate technical accuracy and solution quality, develop well-supported reference solutions, and help establish high-quality evaluation standards for advanced AI systems.
Key Responsibilities
Engineering Question Authoring
- Create original multiple-choice questions that test deep engineering understanding rather than surface-level recall
- Develop challenging problems within relevant areas of engineering expertise
- Ensure questions are self-contained, precise, unambiguous, and independently solvable
- Design questions appropriate for undergraduate, advanced undergraduate, and postgraduate difficulty levels
- Produce one correct answer alongside nine plausible and carefully constructed distractors
Question Verification & Technical Review
- Review pre-written engineering questions for correctness, clarity, rigour, and completeness
- Identify technical errors, hidden assumptions, mathematical mistakes, or solvability issues
- Edit questions and answer choices where required
- Verify calculations, engineering reasoning, assumptions, and designated correct answers
- Document substantive changes and explain the technical reasoning behind them
Semiconductor Design & Manufacturing
- Develop assessment content involving semiconductor devices, VLSI design, and integrated-circuit manufacturing
- Create problems covering circuit architecture, fabrication processes, device behaviour, and design trade-offs
- Evaluate semiconductor manufacturing constraints and performance considerations
- Apply electrical and electronic engineering principles to advanced device scenarios
- Develop technically rigorous problems involving modern semiconductor systems
Control Systems & Mechatronics
- Create questions involving control theory, system dynamics, stability, feedback, and optimisation
- Develop problems integrating mechanical, electrical, electronic, and computational systems
- Apply mathematical modelling to dynamic engineering systems
- Evaluate sensors, actuators, controllers, and system-level behaviour
- Design scenarios requiring multi-step reasoning across control and mechatronic applications
Process, Reactor & Plant Engineering
- Develop assessment content involving reactor design, process engineering, and industrial plant systems
- Create problems addressing mass and energy balances, reaction engineering, and process optimisation
- Evaluate separation processes and equipment selection
- Apply engineering judgement to system design, operating conditions, and process constraints
- Develop scenarios reflecting realistic chemical and industrial engineering workflows
Reservoir Engineering & Maintenance
- Create problems involving reservoir modelling, production behaviour, and subsurface engineering
- Evaluate fluid flow, recovery strategies, reservoir performance, and operational constraints
- Develop questions involving equipment reliability, maintenance strategy, and asset performance
- Apply quantitative methods to engineering planning and operational decisions
- Assess trade-offs involving safety, efficiency, reliability, and production objectives
Bioinstrumentation & Biotechnology Engineering
- Develop questions involving biomedical instrumentation, sensors, measurement systems, and biotechnology
- Apply engineering principles to biological and healthcare-related technologies
- Create problems involving signal acquisition, system design, instrumentation, and data interpretation
- Evaluate technical performance and design constraints in bioengineering applications
- Develop interdisciplinary problems integrating engineering with biological systems
Academic Research & Benchmark Quality
- Provide 1–5 academic references per question where required
- Use reputable sources such as peer-reviewed journals, academic publications, engineering standards, and university repositories
- Develop clear, structured solution explanations supporting the correct answer
- Rate question difficulty according to defined Medium, Hard, and Expert standards
- Help maintain consistent technical and academic quality across benchmark content
- Contribute to gold-standard evaluation materials used to assess advanced AI capabilities
Ideal Profile
- PhD or current doctoral candidacy in Engineering or a closely related technical discipline
- Master's degree may be considered for candidates with exceptional expertise in a relevant engineering subdomain
- Strong command of graduate-level engineering principles and applied mathematics
- Expertise in one or more areas including Semiconductor Design, VLSI, Control Engineering, Mechatronics, Reactor or Plant Design, Separations, Reservoir Engineering, Engineering Maintenance, Bioinstrumentation, or Biotechnology
- Strong ability to analyse complex engineering systems and verify quantitative solutions
- Familiarity with relevant technical standards and professional engineering practice
- Excellent written English and ability to communicate complex technical concepts clearly and precisely
- Academic research publications or substantial industry experience are highly valued
- Professional engineering licensure or comparable technical credentials are advantageous
- University-level teaching, examination development, or technical assessment experience is highly valued
- Strong attention to mathematical precision, engineering feasibility, and problem solvability
Engagement Details
- Part-time independent contractor engagement
- Fully remote and asynchronous
- Expected availability of at least 10 hours per week
- Flexible scheduling based on project requirements
- Compensation: $50–$70/hour
- Contributors may be assigned either question-authoring or question-verification workstreams
- Projects may be extended, shortened, or concluded based on project needs and performance
- Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party
- H1-B and STEM OPT support is unavailable for this engagement
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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