Scientific Computing / Research Engineering Expert, Earth Sciences
About this role
Translate authentic Earth-science workflows into self-contained terminal benchmark tasks.
Prepare geospatial, climate, atmospheric, geological, hydrological, or oceanographic datasets.
Build reproducible computational environments with appropriate scientific libraries and command-line tools.
Create expert solutions using Python, R, Bash, Julia, or domain-specific software.
Develop tasks involving geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, or environmental risk analysis.
Define objective grading criteria for scientific outputs, model behavior, data transformations, and spatial or temporal accuracy.
Validate coordinate systems, units, timestamps, missing-data handling, and scientific assumptions.
Create automated tests for numerical tolerances, file formats, metadata, and reproducibility.
Debug issues involving geospatial projections, large datasets, dependencies, performance, and numerical stability.
Document input data provenance, expected outputs, edge cases, and limitations.
Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a closely related field.
Strong expertise 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 skills in Python, R, Julia, Bash, or another scientific programming language.
Hands-on experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis.
Comfortable working independently in Linux/terminal-based environments.
Ability to build, debug, and validate reproducible scientific computational workflows.
Strong understanding of scientific quality control, spatial/temporal data, uncertainty, and numerical accuracy.
Experience with NumPy, pandas, SciPy, xarray, rasterio, GeoPandas, Cartopy, GDAL, or similar scientific/geospatial tools.
Experience with scientific data formats such as NetCDF, HDF5, GeoTIFF, shapefiles, or GRIB.
Experience working with climate, weather, satellite, seismic, oceanographic, geological, or hydrological datasets.
Familiarity with Docker, Conda, Git, CI/CD, automated testing, or HPC environments.
Role Overview:
We are seeking Earth Sciences experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science. You will create computational workflows involving environmental data, climate systems, atmospheric processes, geophysics, oceanography, geology, and related fields.
You will design tasks that require AI agents to inspect scientific datasets, process geospatial or time-series data, run models, troubleshoot pipelines, and generate objectively verifiable scientific outputs.
What you'll do:
What we're looking for:
Preferred Qualification:
Research software engineering, scientific benchmarking, or automated grader development experience.
Experience evaluating AI coding/terminal agents or developing tasks and evaluations for AI systems.
Publications or open-source contributions in Earth, environmental, geospatial, or computational sciences.
Offer Details:
Commitments Required: At least 6 hours per day and minimum 40 hours per week with overlap of 4 hours with PST.
Employment type : Contractor assignment (no medical/paid leave)
Duration of contract : 5 week [expected start date is next week]
Payment type: Pay Per Task $300/per aproved task
Key skills
Details
- Pay: Shared during the application process
- Company: Turing
- Location: Remote
- Eligible locations: Worldwide (no restriction)
- Platform: Turing
Frequently asked questions
How much does the Scientific Computing / Research Engineering Expert, Earth Sciences role pay?
Turing does not publish a pay rate for this Scientific Computing / Research Engineering Expert, Earth Sciences position. Pay is shared during the application process and depends on your experience and the scope of the work.
Is the Scientific Computing / Research Engineering Expert, Earth Sciences role remote, and can I work from home?
Yes. Turing lists this Scientific Computing / Research Engineering Expert, Earth Sciences position as fully remote, so you can work from home or anywhere with a reliable computer and internet connection.
Is Scientific Computing / Research Engineering Expert, Earth Sciences full time or part time?
Turing lists this as a contractor remote role. Full details are in the role description above.
Which countries can apply for Scientific Computing / Research Engineering Expert, Earth Sciences?
Turing lists this role with no country restriction. Check the Turing listing for current requirements before applying.
Do I need experience to apply for Scientific Computing / Research Engineering Expert, Earth Sciences?
The requirements are listed in the role description above. Turing screens applicants through its own process, and relevant skills or credentials strengthen your application.
How do I apply for the Scientific Computing / Research Engineering Expert, Earth Sciences role, and is it legit?
Use the apply button on this page to go straight to the official Turing listing. Turing is a real hiring marketplace and applying is free. No legitimate employer charges you to apply.
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