Data Scientist

Specialised Part-Time Consulting Opportunity for Mathematicians and Quantitative ResearchersWe are sharing a specialised part-time consulting opportunity for mathematicians and quantitative researchers with advanced expertise in applied mathematics, mathematical modelling, optimisation, statistics, or related computational disciplines. This role supports an AI research initiative focused on developing rigorous mathematics benchmarks. Selected experts will author or verify challenging multiple-choice assessment content, evaluate mathematical accuracy and solution quality, develop well-supported reference solutions, and help establish high-quality evaluation standards for advanced AI systems.Key ResponsibilitiesMathematics Question AuthoringCreate original multiple-choice questions that test deep mathematical understanding rather than surface-level recallDevelop challenging problems within relevant areas of applied mathematics expertiseEnsure questions are self-contained, precise, unambiguous, and independently solvableDesign questions appropriate for undergraduate, advanced undergraduate, and postgraduate difficulty levelsProduce one correct answer alongside nine plausible and carefully constructed distractorsQuestion Verification & Mathematical ReviewReview pre-written mathematics questions for correctness, clarity, rigour, and completenessIdentify mathematical errors, hidden assumptions, ambiguity, or solvability issuesEdit questions and answer choices where requiredVerify calculations, derivations, proofs, and designated correct answersDocument substantive changes and explain the mathematical reasoning behind themSignal Processing & Applied AnalysisDevelop assessment content involving signal processing and mathematical analysisCreate problems involving transforms, filtering, sampling, estimation, and signal representationApply quantitative reasoning to realistic signal-processing scenariosEvaluate modelling assumptions and numerical methodsDesign questions requiring multi-step analytical reasoningFinancial & Economic MathematicsDevelop problems involving financial mathematics and actuarial scienceCreate assessment content covering risk, probability, pricing, stochastic processes, and financial modellingApply mathematical methods to economic models and decision problemsDevelop questions involving mathematical economics and optimisationEvaluate assumptions, constraints, and quantitative conclusionsOptimisation & Mathematical ProgrammingCreate rigorous problems involving mathematical programming and combinatorial optimisationApply linear, nonlinear, integer, and discrete optimisation methods where relevantDevelop scenarios involving resource allocation, scheduling, networks, and constrained decision-makingEvaluate solution feasibility, optimality, and modelling assumptionsDistinguish mathematically rigorous approaches from plausible but incorrect alternativesBiological & Ecological ModellingDevelop mathematical models of ecological and biological systemsCreate problems involving dynamic systems, population models, biological processes, and quantitative interactionsEvaluate model assumptions, parameter behaviour, and system dynamicsInterpret mathematical results within biological or ecological contextsDesign interdisciplinary questions requiring both quantitative and applied reasoningGeomathematics & Climate ModellingDevelop assessment content involving mathematical models of Earth and environmental systemsCreate problems involving spatial modelling, geophysical processes, and climate dynamicsApply numerical and analytical methods to environmental modelling scenariosEvaluate uncertainty, parameterisation, and model behaviourInterpret quantitative outputs within physical and environmental contextsAcademic Research & Benchmark QualityProvide 1–5 academic references per question where requiredUse reputable sources such as peer-reviewed journals, academic publications, and university repositoriesDevelop clear, structured solution explanations supporting the correct answerRate question difficulty according to defined Medium, Hard, and Expert standardsHelp maintain consistent mathematical and academic quality across benchmark contentContribute to gold-standard evaluation materials used to assess advanced AI capabilitiesIdeal ProfilePhD or current doctoral candidacy in Mathematics, Applied Mathematics, Statistics, Operations Research, or a closely related quantitative disciplineMaster's degree may be considered for candidates with exceptional expertise in a relevant mathematical subdomainStrong command of graduate-level mathematics and formal mathematical reasoningExpertise in one or more areas including Signal Processing, Financial Mathematics, Actuarial Science, Mathematical Economics, Mathematical Modelling, Mathematical Programming, Combinatorial Optimisation, Geomathematics, or Climate ModellingStrong ability to construct and verify rigorous mathematical arguments and quantitative solutionsExcellent written English and ability to communicate complex mathematical concepts clearly and preciselyAcademic research publications are highly valuedExperience with mathematical competition writing, examination development, or advanced problem design is advantageousUniversity-level teaching or academic assessment experience is highly valuedStrong attention to mathematical precision, logical consistency, and problem solvabilityEngagement DetailsPart-time independent contractor engagementFully remote and asynchronousExpected availability of at least 10 hours per weekFlexible scheduling based on project requirementsCompensation: $50–$70/hourContributors may be assigned either question-authoring or question-verification workstreamsProjects may be extended, shortened, or concluded based on project needs and performanceWork must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third partyH1-B and STEM OPT support is unavailable for this engagementAbout the PlatformThis opportunity is available through 24-MAG LLC. 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