Remote | Engineering Assessment Expert (AI Benchmarking) — $50–$70/hour

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. 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