Scientific Chemistry, Python, AI Evaluation

Gramian Consulting

. Design scientific coding tasks consisting of one main chemistry problem and at least 3 logically connected, progressively structured sub-problems.

Posted 9/21/2026contractRemote • PakistanMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Highest-signal resume keywords

Python ProgrammingScientific ComputingUnit TestingAI Data AnnotationChemistry Research

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Scientific Problem FormulationDeterministic OutputsTest Case DevelopmentQuality Control ValidationPass@K Evaluation Criteria

Soft Skills

CollaborationFeedback IntegrationCommunication

Tools & Technologies

NumPySciPySymPyCentral Task Platform (CTP)LLM Evaluation Frameworks

Certifications & Qualifications

Master's Degree in ChemistryPhD in Chemistry

Industry Keywords

AI-Generated Code AssessmentScientific WritingSTEM DisciplineQuality StandardsResearch Publication

Tech Stack

Tools & technologies

NumpyPython

About the role

Key responsibilities & impact

Design scientific coding tasks consisting of one main chemistry problem and at least 3 logically connected, progressively structured sub-problems.
Develop verified golden solutions in Python with complete unit test coverage.
Create discriminative test cases that distinguish correct from incorrect AI-generated outputs.
Execute quality control validation through the Central Task Platform (CTP), including Tier 1 structural checks and Tier 2 quality rubrics.
Iterate on task specifications, implementations, 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 scientific correctness, determinism, well-posedness, and adherence to project quality standards.
Maintain high first-submission quality and minimize rework, targeting consistent L1 approval.
Participate in review meetings, feedback sessions, and project standups during required overlap hours.

Requirements

What you’ll need

Master's degree or PhD in Chemistry.
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 scientific problems with clear constraints and expected outputs.
Experience writing or 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, coding benchmarks, or AI-generated code assessment.
Published research or academic project experience involving chemistry or another STEM discipline.