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 9/20/2026contractRemote • BangladeshMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 control while optimizing tasks for AI evaluation frameworks.

Highest-signal resume keywords

Python ProgrammingScientific ComputingUnit TestingAI Data AnnotationChemistry Research

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonScientific ComputingUnit TestingProblem FormulationQuality Control ValidationTest Case DevelopmentTask OptimizationDeterministic OutputsAI Code AssessmentChemistry Problem Design

Soft Skills

CollaborationFeedback IntegrationCommunication

Tools & Technologies

NumPySciPySymPyCentral Task Platform (CTP)LLM Evaluation Frameworks

Certifications & Qualifications

Master's Degree in ChemistryPhD in Chemistry

Industry Keywords

Scientific ResearchAI-generated CodeSTEM DisciplineQuality StandardsProject Management

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