Role Overview
We are seeking Earth Sciences experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science. You will create computational workflows involving environmental data, climate systems, atmospheric processes, geophysics, oceanography, geology, and related fields.
You will design tasks that require AI agents to inspect scientific datasets, process geospatial or time-series data, run models, troubleshoot pipelines, and generate objectively verifiable scientific outputs.
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 appropriate 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.
What we're looking for
- Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a closely related field.