Earth Sciences AI Benchmarking Engineer

Gramian Consulting Group; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Gramian Consultancy seeks an Earth Sciences expert to develop terminal-based scientific tasks for an AI benchmarking project. You will translate authentic workflows across climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, and environmental modeling into reproducible computational tasks that AI agents can execute and solve.

The role combines scientific programming, data analysis, and workflow design with a strong emphasis on objective grading

Qualifications

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a closely related field.
• Strong programming skills in Python, R, Julia, Bash or other scientific languages.
• Hands-on experience with scientific data processing, numerical modeling, geospatial analysis or time-series data.
• Experience in Linux or terminal-based environments and reproducible workflows.

Responsibilities

• Translate authentic Earth-science workflows into self-contained terminal-based benchmark tasks.
• Prepare and structure geospatial, climate, atmospheric, geological, hydrological, or oceanographic datasets.
• Build reproducible computational environments using scientific libraries and command-line tools.
• Develop expert reference solutions using Python, R, Bash, Julia, or domain-specific software.
• Design tasks involving geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, and environmental risk analysis.
• Define objective grading criteria for outputs, data transformations, and spatial/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 projections, large datasets, dependencies, performance, and numerical stability.
• Document data provenance, expected outputs, edge cases, assumptions, and limitations.

Skills

Python

R

Julia

Bash

Linux

Scientific data processing

Geospatial analysis

Education

Ph.D. or equivalent advanced degree

Job description

Gramian Consultancy seeks an Earth Sciences expert to develop terminal-based scientific tasks for an AI benchmarking project. You will translate authentic workflows across climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, and environmental modeling into reproducible computational tasks that AI agents can execute and solve.

The role combines scientific programming, data analysis, and workflow design with a strong emphasis on objective grading