# Earth & Environmental Science Expert (AI Projects)

> Gramian Consulting Group · Turkey (Remote) · Contract · Posted 2026-09-24

**Workplace:** remote

**Department:** Partnerships

## Description

**About Gramian**

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

**About the Role**

We are looking for an **Earth Sciences expert** to develop realistic, 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 expertise, programming, data analysis, and computational workflow design**, with a strong focus on creating objectively verifiable outputs and robust evaluation criteria.

**Key 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 scientific outputs, 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 projections, large datasets, dependencies, performance, and numerical stability.
-   Document data provenance, expected outputs, edge cases, assumptions, and limitations.

## Requirements

-   Ph.D., postdoctoral experience, or equivalent advanced technical experience in **Earth Sciences** or a closely related field.

-   Deep expertise in at least one area such as **climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, environmental modeling, or Earth-system science**.
-   Strong programming skills in **Python, R, Julia, Bash**, or another scientific programming language.
-   Hands-on experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis.
-   Experience working in **Linux or terminal-based environments**.
-   Ability to build, debug, and validate reproducible scientific computational workflows.
-   Strong understanding of scientific quality control, spatial and temporal data, uncertainty, and numerical accuracy.

## Apply

[Apply at Gramian Consulting Group](https://apply.workable.com/gramian/j/263B752655/apply)

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