Mathematics Expert (Python & AI)

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.Role OverviewWe are seeking a mathematics-focused professional to support an advanced AI research initiative developing high-quality STEM coding datasets. In this role, you will create rigorous mathematical problems, implement verified Python solutions, and develop evaluation tests designed to assess the capabilities of frontier AI models. The position combines mathematical problem-solving, scientific programming, and AI quality evaluation, with a strong emphasis on accuracy, determinism, and first-submission quality.CONTRACT: Contractor assignment, 4 weeksCOMMITMENT: Hourly, up to 40h/weekLOCATIONS: Remote - Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Pakistan, Turkey, VietnamPROCESS: Interest Check Form, CV and Google Scholar reviewKey ResponsibilitiesAuthor mathematical coding tasks containing one main problem and at least 3 logically connected sub-problems that progressively build toward the main solutionImplement verified golden solutions in Python with complete unit test coverageDesign discriminative test cases that distinguish correct from incorrect AI-generated outputsPerform quality control validation using the Central Task Platform (CTP), including Tier 1 structure checks and Tier 2 quality rubricsRefine problem specifications, solutions, and test cases based on QC feedbackOptimize tasks to meet Pass@K evaluation criteria across multiple LLM judges, including GPT, Gemini, and NemotronEnsure mathematical correctness, well-posedness, determinism, and compliance with project quality standardsMaintain high first-submission quality and minimize rework, targeting consistent L1 approvalParticipate in review sessions, feedback meetings, and project standups during required overlap hoursRequirementsMaster's degree or PhD in MathematicsStrong Python programming skills with experience in scientific computingExperience using scientific Python libraries such as NumPy, SciPy, SymPy, or relevant domain-specific toolsAbility to formulate rigorous mathematical problems with clear constraints and expected outputsExperience implementing scientific or mathematical solutions with unit tests and deterministic outputsPrior experience in AI data annotation, scientific research, or scientific writingFamiliarity with LLM evaluation frameworks, coding benchmarks, or AI-generated code assessmentPublished research or academic project experience in mathematics or another STEM discipline