🌍 Scientific Computing / Research Engineering Expert — Earth Sciences | Remote
🌍 Scientific Computing / Research Engineering Expert — Earth Sciences | Remote
🚀 Turing is looking for Earth Sciences experts to help develop realistic, terminal-based scientific tasks for Terminal Bench Science.
The project focuses on creating computational workflows involving climate, atmospheric science, geophysics, oceanography, geology, hydrology, remote sensing, and environmental science.
💼 Job Details
🌍 Work Type: Remote
👨💻 Employment: Contractor Assignment
⏳ Contract Duration: 5 weeks
🕐 Commitment: Minimum 40 hours/week
⏰ Daily Requirement: At least 6 hours/day
🌎 Time Overlap: 4 hours with PST
💵 Payment: $300 per approved task
📅 Expected Start: Next week
🔬 What You'll Do
Selected experts will:
Create realistic Earth-science computational tasks
Prepare climate, environmental, geological, hydrological, or oceanographic datasets
Build reproducible scientific computing environments
Develop solutions using Python, R, Bash, Julia, or similar tools
Perform geospatial and time-series analysis
Work with numerical models, forecasting, interpolation, remote sensing, and environmental risk analysis
Create objective grading criteria and automated tests
Validate coordinates, units, timestamps, missing data, and scientific assumptions
Debug scientific workflows, dependencies, large datasets, and numerical issues
Document data sources, expected outputs, edge cases, and limitations
🎓 Requirements
Candidates should have:
Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a related field
Strong expertise in at least one area such as:
🌡️ Climate Science
🌤️ Atmospheric Science
🌊 Oceanography
🌎 Geophysics
🪨 Geology
💧 Hydrology
🛰️ Remote Sensing
🌱 Environmental Modeling
🌍 Earth-System Science
Strong programming skills in Python, R, Julia, Bash, or another scientific language
Experience with scientific data processing, numerical modeling, geospatial analysis, or time-series data
Comfort working in Linux/terminal environments
Experience building and validating reproducible scientific workflows
Strong understanding of scientific quality control, uncertainty, and numerical accuracy
🛠️ Preferred Skills
Experience with tools such as:
NumPy • pandas • SciPy • xarray • rasterio • GeoPandas • Cartopy • GDAL
Experience with scientific formats including:
NetCDF • HDF5 • GeoTIFF • Shapefiles • GRIB
Experience with Docker, Conda, Git, CI/CD, automated testing, or HPC environments is also beneficial.
⭐ Nice to Have
Research software engineering experience
Scientific benchmarking or automated grader development
Experience evaluating AI coding or terminal agents
Experience developing AI evaluation tasks
Publications or open-source contributions in Earth, environmental, geospatial, or computational sciences
📢 Who Should Apply?
This opportunity is suited to advanced Earth Sciences and scientific computing professionals with strong programming and computational research experience.
Apply Now