Earth & Environmental Science Expert – AI Projects

Posted 1 day ago

This is a fully remote position, open to applicants in Turkey, +2 more countries.

πŸ“‹ Description

β€’ Convert authentic Earth-science workflows into standalone terminal-based benchmark tasks.

β€’ Organize and structure datasets related to geospatial, climate, atmospheric, geological, hydrological, or oceanographic aspects.

β€’ Construct reproducible computational environments utilizing scientific libraries and command-line tools.

β€’ Create expert reference solutions using Python, R, Bash, Julia, or specialized software.

β€’ Design tasks that encompass geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, and environmental risk assessment.

β€’ Establish objective grading criteria for scientific outputs, data transformations, and both spatial and temporal accuracy.

β€’ Validate coordinate systems, units, timestamps, handling of missing data, and scientific assumptions.

β€’ Develop automated tests for numerical tolerances, file types, metadata, and reproducibility.

β€’ Troubleshoot issues related to projections, large datasets, dependencies, performance, and numerical stability.

β€’ Document data provenance, anticipated outputs, edge cases, assumptions, and limitations.


⛳️ Requirements

β€’ Ph.D., postdoctoral experience, or comparable advanced technical experience in Earth Sciences or a closely related discipline.

β€’ Extensive expertise in at least one area such as climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, environmental modeling, or Earth-system science.

β€’ Proficient programming skills in Python, R, Julia, Bash, or another scientific programming language.

β€’ Practical experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis.

β€’ Familiarity with Linux or terminal-based environments.

β€’ Capability to build, debug, and validate reproducible scientific computational workflows.

β€’ Strong knowledge of scientific quality control, spatial and temporal data, uncertainty, and numerical accuracy.


🏝️ Benefits

β€’ Competitive salary and comprehensive benefits package.

β€’ Opportunities for professional development and continuous learning.

β€’ Collaborative work environment with a focus on innovation.

β€’ Access to cutting-edge technology and resources.

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