
Earth & Environmental Science Expert β AI Projects
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Turkey, +2 more countries.
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.
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.
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.
The College Board
Mercor
Mercor
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