
Earth & Environmental Science Expert – AI Projects
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Bangladesh, +5 more countries.
• Convert genuine Earth-science workflows into comprehensive terminal-based benchmark assignments.
• Organize and prepare datasets related to geospatial, climate, atmospheric, geological, hydrological, or oceanographic information.
• Construct reproducible computational environments utilizing scientific libraries and command-line utilities.
• Create expert reference solutions employing Python, R, Bash, Julia, or specialized software relevant to the domain.
• Design tasks that encompass geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, and environmental risk evaluation.
• Establish objective grading standards for scientific outputs, data transformations, and both spatial and temporal accuracy.
• Verify coordinate systems, units, timestamps, missing data management, and scientific assumptions.
• Develop automated tests for numerical tolerances, file formats, metadata, and reproducibility.
• Troubleshoot issues relating to projections, large datasets, dependencies, performance, and numerical stability.
• Document data provenance, expected outcomes, edge cases, assumptions, and limitations.
• Ph.D., postdoctoral experience, or equivalent advanced technical expertise in Earth Sciences or a closely related discipline.
• Profound knowledge 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 capabilities in Python, R, Julia, Bash, or another scientific programming language.
• Practical experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis.
• Familiarity with Linux or terminal-based environments.
• Capacity to create, debug, and validate reproducible scientific computational workflows.
• Solid understanding of scientific quality control, spatial and temporal data, uncertainty, and numerical accuracy.
• Competitive salary and performance-based bonuses.
• Opportunities for professional development and continued education.
• Comprehensive health and wellness benefits.
• Flexible working hours and remote work options.
• Collaborative and innovative work environment.
Mercor
Mercor
Mercor
Mercor
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