Scientific Computing / Research Engineering Expert — Earth Sciences (PPT)

Overview

ExpertWoka is sourcing Earth Sciences experts for a scientific computing and research engineering contractor assignment focused on building realistic terminal-based scientific tasks for benchmark evaluation.

What You'll Do

• Translate authentic Earth-science workflows into self-contained terminal benchmark tasks.
• Prepare geospatial, climate, atmospheric, geological, hydrological, or oceanographic datasets.
• Build reproducible computational environments with scientific libraries and command-line tools.
• Create expert solutions using Python, R, Bash, Julia, or domain-specific software.
• Develop tasks involving geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, or environmental risk analysis.
• Define objective grading criteria for scientific outputs, model behavior, data transformations, and spatial or temporal accuracy.
• Validate coordinate systems, units, timestamps, missing-data handling, and scientific assumptions.
• Create automated tests for numerical tolerances, file formats, metadata, and reproducibility.
• Debug issues involving geospatial projections, large datasets, dependencies, performance, and numerical stability.
• Document input data provenance, expected outputs, edge cases, and limitations.

Requirements

• PhD in Earth Sciences or a closely related field.
• Relevant background in climate science, atmospheric science, geophysics, oceanography, geology, hydrology, environmental modeling, remote sensing, or Earth-system science.
• Strong programming skills in Python, C/C++, MATLAB/Octave, Julia, R, Bash, or similar scientific tools.
• Hands-on experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis.
• Comfort working independently in Linux/terminal-based environments.
• Ability to build, debug, and validate reproducible scientific computational workflows.
• Strong understanding of scientific quality control, spatial/temporal data, uncertainty, and numerical accuracy.
• Full-time availability: 40 hours per week.
• 4 hours of PST overlap per day.

Project Details

• Contractor assignment with no medical or paid leave.
• Engagement length: 5 weeks.
• Start: immediate / expected next week.
• Payment: pay per task.
• Talent compensation: $300 per approved task.
• Average task handling time: 6-8 hours.

Evaluation Process

• Interest Check Form (ICF)
• Assessment - 120 mins
• Delivery Manager Review

Note: Applicants should use the same email address for the ICF as was submitted on the agency portal.