Remote | Materials Engineer — Up to $80/hour

We are sharing a specialised consulting opportunity for senior materials engineering professionals with doctoral-level expertise and substantial industry experience in materials selection, failure analysis, testing, or process development. This role supports an advanced AI research initiative focused on creating challenging, expert-level engineering problems grounded in realistic industry scenarios. Selected professionals will author original free-response materials engineering questions, develop complete technical solutions, and evaluate their difficulty against frontier AI models. Key Responsibilities Engineering Problem Development Author original, technically rigorous free-response problems in materials engineering Develop questions based on realistic industrial and engineering scenarios Design problems that require advanced reasoning rather than straightforward textbook recall Incorporate practical constraints, engineering trade-offs, and professional judgment Materials Engineering Analysis Develop problems involving areas such as materials selection, failure analysis, testing, and process development Apply advanced knowledge of materials science, metallurgy, and engineering behaviour Incorporate relevant mechanical, chemical, thermal, structural, or manufacturing considerations Ensure technical assumptions and problem conditions are realistic and internally consistent Expert Solution Writing Produce complete expert-level solutions for each authored problem Clearly document calculations, reasoning, assumptions, and engineering methodology Ensure solutions are technically rigorous and independently verifiable Explain relevant materials behaviour and engineering decisions with appropriate depth AI Difficulty Validation Evaluate each problem using multiple frontier language models Assess whether current AI systems can correctly solve the problem Refine questions where necessary to maintain an appropriately demanding level of difficulty Document model errors, reasoning failures, or incomplete technical approaches Validate that each problem meaningfully tests advanced materials engineering reasoning Ideal Profile Strong candidates may have: A PhD in Materials Science & Engineering, Metallurgy, or a materials-focused Mechanical or Chemical Engineering discipline At least 5 years of hands-on professional or industry experience Substantial expertise in materials selection, failure analysis, materials testing, or process development Strong understanding of practical engineering workflows and industry constraints Ability to formulate complex technical problems requiring multi-step reasoning Excellent technical writing and analytical communication skills Experience translating real engineering challenges into structured technical problems Educational Background PhD in Materials Science & Engineering, Metallurgy, or a closely related materials-focused engineering discipline is required Materials-focused doctoral training within Mechanical Engineering or Chemical Engineering may also qualify Strong academic foundations combined with substantial practical industry experience are particularly important for this engagement Nice to Have Experience within a major industrial, manufacturing, aerospace, automotive, energy, technology, or engineering organisation Advanced expertise in materials characterisation or testing Experience conducting root-cause or failure analysis Background in process development or manufacturing engineering Experience selecting materials for demanding performance or reliability requirements Prior experience authoring technical assessments, engineering problems, or training materials Familiarity with AI models or structured technical evaluation Why This Opportunity Apply advanced materials engineering expertise to challenging AI research Create original problems based on realistic engineering practice Work on technical questions specifically designed to test sophisticated reasoning Combine industry experience with rigorous engineering problem-solving Help identify limitations in current frontier AI systems Participate in flexible remote consulting work with competitive compensation Contract Details Independent contractor role Fully remote with flexible scheduling Compensation of up to $80 per hour depending on expertise and project scope Work may include engineering problem authoring, expert solution development, technical validation, and AI model evaluation Weekly payments via Stripe or Wise Projects may be extended, shortened, or adjusted depending on scope and performance Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. 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