Work Type
Remote
Location
Bangladesh, India, Indonesia, Egypt, Ghana, Nigeria, Turkey, Brazil, Colombia
Compensation
$300 per approved task
About this opportunity
Overview
ExpertWoka is seeking a Physical Sciences Expert to help develop realistic, terminal-based scientific tasks for benchmark evaluation. This role focuses on translating authentic workflows in physics, chemistry, materials science, astronomy, and computational science into reproducible environments for AI evaluation.
What You'll Do
- Design multi-step terminal tasks based on realistic physical-science workflows.
- Develop self-contained computational environments with pinned dependencies and scientific software.
- Create input datasets, molecular structures, simulation parameters, experimental data, or model configurations.
- Implement expert solutions using Python, Bash, C/C++, Julia, or domain-specific tools.
- Develop automated tests for numerical accuracy, physical consistency, convergence, and output structure.
- Create tasks involving simulations, numerical modeling, data fitting, optimization, spectroscopy, molecular analysis, or scientific visualization.
- Define numerical tolerances, units, boundary conditions, and expected scientific behavior.
- Validate that tasks are reproducible and execute successfully without runtime downloads.
- Debug issues involving dependencies, precision, solver stability, performance, and file formats.
- Communicate scientific assumptions and computational limitations clearly to reviewers.
Requirements
- Ph.D., postdoctoral experience, or equivalent advanced technical experience in a relevant physical-science discipline.
- Strong programming skills in Python, C/C++, Julia, Bash, or another scientific programming language.
- Experience working in Linux or terminal-based environments.
- Experience with numerical methods, scientific modeling, simulations, or quantitative data analysis.
- Ability to create and validate computational scientific workflows independently.
- Strong understanding of units, numerical precision, physical constraints, and scientific reproducibility.
- Full-time availability at 40 hours per week.
- 4 hours of PST overlap per day.
Preferred Qualifications
- Experience with NumPy, SciPy, pandas, matplotlib, SymPy, JAX, or similar libraries.
- Familiarity with molecular dynamics, quantum chemistry, finite-difference methods, Monte Carlo methods, optimization, or statistical modeling.
- Experience with tools such as OpenMM, ASE, RDKit, Psi4, LAMMPS, GROMACS, or other domain-specific software.
- Familiarity with Docker, Conda, Git, CI systems, and automated testing.
- Experience working with HPC systems or performance-sensitive scientific workloads.
- Experience evaluating AI coding or terminal agents.
- Research software engineering experience.
- Experience creating benchmark tasks or automated graders.
- Publications or open-source contributions involving computational science.
- Experience converting experimental or research workflows into reproducible packages.
Project Details
- Contractor assignment with no medical or paid leave.
- Engagement length: 5 weeks.
- Start date: Immediate.
- Compensation: $300 per approved task.
- Average task handling time: 6-8 hours.
Evaluation Process
- Interest Check Form (ICF).
- Assessment (60 minutes).
- Delivery manager review.
Important: Candidates should use the same email address for the ICF as submitted on the agency portal.
