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Gramian Consulting

Physics, Python Specialist

Gramian Consulting

. Design scientific coding tasks consisting of one main physics problem and at least 3 logically connected sub-problems .

Posted 9/21/2026contractRemote • PakistanMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing scientific coding tasks, with a strong focus on Python programming and scientific computing. Capable of validating scientific correctness and optimizing tasks for AI evaluation frameworks.

Highest-signal resume keywords
Python ProgrammingScientific ComputingUnit TestingAI Data AnnotationPhysics Problem Formulation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonNumPySciPySymPyUnit TestingDeterministic OutputsQuality ControlTask OptimizationScientific ResearchData Annotation
Soft Skills
CollaborationFeedback ReceptionProblem-Solving
Tools & Technologies
Turing Central Task PlatformLLM Evaluation Frameworks
Certifications & Qualifications
Master's Degree in PhysicsPhD in Physics
Industry Keywords
Scientific CodingPhysics ProblemsAI-Generated OutputsQuality RubricsResearch Publication

Tech Stack

Tools & technologies
NumpyPython

About the role

Key responsibilities & impact
  • Design scientific coding tasks consisting of one main physics problem and at least 3 logically connected sub-problems
  • Implement verified golden solutions in Python with complete unit test coverage
  • Develop discriminative test cases that distinguish correct from incorrect AI-generated outputs
  • Perform quality control checks using the Turing Central Task Platform (CTP), including Tier 1 structure checks and Tier 2 quality rubrics
  • Revise scientific tasks and solutions based on QC feedback
  • Optimize tasks to meet Pass@K evaluation criteria across multiple LLM judges, including GPT, Gemini, and Nemotron
  • Validate scientific correctness, well-posedness, determinism, and expected outputs
  • Maintain high first-submission quality and minimize rework
  • Participate in reviews, feedback sessions, and project standups during required overlap hours

Requirements

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