🌍 Scientific Computing / Research Engineering Expert – Earth Sciences | Remote

By
🌍 Scientific Computing / Research Engineering Expert – Earth Sciences | Remote 🚀 Remote Contract Opportunity for Earth Science & Scientific Computing Experts A leading AI-focused company is looking for Earth Sciences experts to create realistic, terminal-based scientific tasks for Terminal Bench Science. This role involves developing computational workflows using real-world environmental, climate, geospatial, atmospheric, geological, hydrological, and oceanographic data. 💼 Job Details Position: Scientific Computing / Research Engineering Expert – Earth Sciences Work Type: Remote Employment: Contractor Assignment Contract Duration: 5 weeks Expected Start: Next week Commitment: Minimum 40 hours/week Daily Commitment: At least 6 hours/day PST Overlap: 4 hours Payment: $300 per approved task Medical/Paid Leave: Not included 🔬 What You'll Do Develop realistic Earth-science computational tasks for AI evaluation. Work with climate, atmospheric, geological, hydrological, oceanographic, and environmental datasets. Create geospatial and time-series analysis workflows. Build reproducible scientific environments using Python, R, Bash, Julia, or similar tools. Develop numerical models, forecasting, interpolation, remote-sensing, and environmental-risk tasks. Create objective grading criteria and automated tests. Validate coordinates, units, timestamps, data quality, and scientific assumptions. Troubleshoot geospatial projections, dependencies, large datasets, and numerical issues. Document datasets, expected outputs, edge cases, and limitations. 🎓 Requirements Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a related field. Strong expertise in one or more areas such as: Climate Science Atmospheric Science Geophysics Oceanography Geology Hydrology Remote Sensing Environmental Modeling 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, or time-series analysis. Comfortable working in Linux/terminal environments. Strong understanding of scientific quality control, uncertainty, spatial/temporal data, and numerical accuracy. 🛠️ Preferred Skills Experience with tools such as: NumPy · pandas · SciPy · xarray · rasterio · GeoPandas · Cartopy · GDAL Experience with scientific data formats including: NetCDF · HDF5 · GeoTIFF · Shapefiles · GRIB Additional experience with Docker, Conda, Git, CI/CD, automated testing, or HPC environments is a plus. ⭐ Nice to Have Research software engineering experience Scientific benchmarking or automated grader development Experience evaluating AI coding/terminal agents AI evaluation or task-development experience Publications or open-source contributions in Earth, environmental, geospatial, or computational sciences If you have strong expertise in Earth Sciences and scientific computing and are interested in contributing to AI evaluation and scientific benchmarking, this could be a great opportunity. Apply Now