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Earth Sciences Expert (AI)
Описание вакансии
Текст:
TL;DR
Earth Sciences Expert (AI) (Climate Science/Geospatial Analysis): Developing reproducible, terminal-based Earth-science benchmark tasks for AI agents using scientific datasets and computational workflows with an accent on geospatial analysis, numerical modeling, remote sensing, and environmental data processing. Focus on building expert reference solutions, validating scientific outputs, and designing automated grading criteria for spatial and temporal accuracy.
Location: Remote from Turkey, Brazil, or Colombia
Company
Boutique consultancy providing IT professional services and engineering talent solutions.
What you will do
- Translate authentic workflows from climate science, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, and environmental modeling into terminal-based AI benchmark tasks.
- Prepare and structure geospatial, climate, atmospheric, geological, hydrological, and oceanographic datasets.
- Build reproducible computational environments using scientific libraries and command-line tools.
- Develop reference solutions with Python, R, Julia, Bash, and domain-specific software.
- Design tasks involving geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, and environmental risk analysis.
- Define grading criteria, automated tests, data provenance, expected outputs, edge cases, assumptions, and limitations.
Requirements
- Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a related field.
- Deep expertise in at least one Earth-science 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.
- Experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis.
- Experience working in Linux or terminal-based environments and building reproducible scientific workflows.
- Strong understanding of scientific quality control, spatial and temporal data, uncertainty, and numerical accuracy.
Culture & Benefits
- Remote contract engagement.
- Work focused on AI benchmarking and objectively verifiable scientific outputs.
- Opportunity to apply Earth-science expertise to computational workflow design and evaluation.