Mathematics Expert, Python, AI

Gramian Consulting

. Author mathematical coding tasks containing one main problem and at least 3 logically connected sub-problems that progressively build toward the main solution .

Posted 9/21/2026contractRemote • BangladeshMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python programming and scientific computing, with a strong focus on mathematical problem formulation, quality control validation, and optimization for AI evaluation criteria. Proven ability to produce high-quality, deterministic solutions and participate effectively in collaborative project environments.

Highest-signal resume keywords

Python ProgrammingScientific ComputingMathematical Problem FormulationQuality Control ValidationAI Data Annotation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Mathematical CodingUnit TestingDeterministic OutputsTest Case DesignOptimization Techniques

Soft Skills

CollaborationFeedback IntegrationProblem-Solving

Tools & Technologies

NumPySciPySymPyCentral Task Platform (CTP)

Certifications & Qualifications

Master's Degree in MathematicsPhD in Mathematics

Industry Keywords

AI Evaluation FrameworksScientific ResearchSTEM DisciplineCoding Benchmarks

Tech Stack

Tools & technologies

NumpyPython

About the role

Key responsibilities & impact

Author mathematical coding tasks containing one main problem and at least 3 logically connected sub-problems that progressively build toward the main solution
Implement verified golden solutions in Python with complete unit test coverage
Design discriminative test cases that distinguish correct from incorrect AI-generated outputs
Perform quality control validation using the Central Task Platform (CTP), including Tier 1 structure checks and Tier 2 quality rubrics
Refine problem specifications, solutions, and test cases based on QC feedback
Optimize tasks to meet Pass@K evaluation criteria across multiple LLM judges, including GPT, Gemini, and Nemotron
Ensure mathematical correctness, well-posedness, determinism, and compliance with project quality standards
Maintain high first-submission quality and minimize rework, targeting consistent L1 approval
Participate in review sessions, feedback meetings, and project standups during required overlap hours

Requirements

What you’ll need

Master's degree or PhD in Mathematics
Strong Python programming skills with experience in scientific computing
Experience using scientific Python libraries such as NumPy, SciPy, SymPy, or relevant domain-specific tools
Ability to formulate rigorous mathematical problems with clear constraints and expected outputs
Experience implementing scientific or mathematical solutions with unit tests and deterministic outputs
Prior experience in AI data annotation, scientific research, or scientific writing
Familiarity with LLM evaluation frameworks, coding benchmarks, or AI-generated code assessment
Published research or academic project experience in mathematics or another STEM discipline