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Gramian Consulting

AI Content Specialist, Mathematics, Python

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 • PakistanMid-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 implement rigorous solutions with comprehensive unit testing and maintain high standards of output quality.

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)LLM Evaluation Frameworks
Certifications & Qualifications
Master's Degree in MathematicsPhD in Mathematics
Industry Keywords
AI-Generated Code AssessmentScientific ResearchSTEM DisciplineQuality StandardsPass@K Evaluation Criteria

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