This role is for one of our clients
Role Details
Employment Type: Contract
Location: Bangladesh, India, Pakistan, Indonesia, Egypt, Ghana, Nigeria, Turkey, Brazil, and Colombia
Contract Duration: 5 weeks
Start Date: Immediate
Work Commitment: 40 hours per week, with at least 4 hours of daily overlap with Pacific Standard Time (PST)
Compensation: $300 per approved task
Average Task Completion Time: 6–8 hours
Contract Benefits: No medical benefits or paid leave
About the Role
We are seeking highly qualified Physical Sciences Experts to develop realistic, terminal-based scientific computing tasks for AI benchmarking and evaluation. The role involves translating authentic workflows from physics, chemistry, materials science, astronomy, and computational science into reproducible, technically rigorous benchmark environments.
You will develop scientific inputs, computational models, executable reference solutions, automated tests, and objective grading criteria. Your work will help assess whether AI agents can reason through complex scientific problems, use command-line tools effectively, debug calculations, execute simulations, and generate accurate, reproducible scientific outputs.
The ideal candidate combines advanced academic or research expertise in a relevant physical-science discipline with strong programming skills and practical experience in computational modeling, numerical analysis, and scientific data processing.
Requirements
Core Scientific Domains
Candidates should have expertise in at least one of the following areas:
Physics and computational physics
Chemistry and computational chemistry
Materials science and materials modeling
Astronomy and cosmology
Thermodynamics
Quantum mechanics
Statistical mechanics
Numerical and computational science
Key Responsibilities
Scientific Task Design: Develop challenging, multi-step terminal-based tasks based on authentic physical-science research and computational workflows.
Environment Development: Build self-contained, reproducible computational environments with appropriate scientific software, dependencies, and configurations.
Scientific Input Preparation: Create datasets, molecular structures, simulation parameters, experimental data, and model configurations.
Reference Solution Development: Implement reliable scientific solutions using Python, Bash, C/C++, Julia, or other relevant programming languages and domain-specific tools.
Automated Testing: Develop tests to validate numerical accuracy, physical consistency, convergence, expected output structures, and task completion.
Computational Modeling: Design tasks involving simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, and scientific visualization.
Scientific Validation: Define appropriate units, numerical tolerances, boundary conditions, physical constraints, and expected scientific behavior.
Reproducibility: Ensure tasks execute reliably in controlled environments without requiring runtime downloads or undocumented dependencies.
Debugging and Optimization: Troubleshoot dependency conflicts, numerical precision issues, solver instability, computational performance, and file-format problems.
Documentation: Clearly communicate scientific assumptions, computational methods, expected outputs, edge cases, and limitations to reviewers.
Required Qualifications
A PhD in Engineering or a relevant physical-science discipline, or postdoctoral experience or equivalent advanced technical experience in a relevant field.
Strong expertise in at least one core domain, such as physics, chemistry, materials science, astronomy, cosmology, or computational science.
Proficiency in Python, C/C++, Julia, Bash, or another programming language used for scientific computing.
Experience with numerical methods, scientific simulations, computational modeling, or quantitative data analysis.
Familiarity with Linux and terminal-based development environments.
Ability to independently develop, debug, and validate…