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Physics, Python Specialist
Gramian Consulting. Design scientific coding tasks consisting of one main physics problem and at least 3 logically connected sub-problems .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant 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 & technologiesNumpyPython
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