Scientific Computing / Research Engineering Expert - Earth Sciences

Hello,

Greetings from ZettaMine!!!

Freelancing Opportunity :- We are currently hiring Scientific Computing / Research Engineering Experts – Earth Sciences for a short-term AI training and evaluation project across Bangladesh, India, Indonesia, Egypt, Ghana, Nigeria, Turkey, Brazil, and Colombia .

Role: Scientific Computing / Research Engineering Expert — Earth Sciences

Experience: Ph.D., Postdoctoral Experience, or equivalent advanced technical experience in Earth Sciences

Mode of Work: Remote

Engagement: Full-Time – 40 Hours/Week

Start Date: Immediate

Average Task Handling Time: 6 Hours

Description

We are seeking Earth Sciences experts to develop realistic, terminal-based scientific tasks for Terminal Bench Science .

The work involves creating computational workflows using environmental data, climate systems, atmospheric processes, geophysics, oceanography, geology, hydrology, and related Earth-science domains.

Experts 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.

Responsibilities

• 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.

Core Earth Sciences Domains

• Climate Science
• Atmospheric Science
• Geophysics
• Oceanography
• Geology
• Hydrology
• Environmental Modeling
• Remote Sensing
• Earth-System Science
• Geospatial & Environmental Data Science

Requirements

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a closely related field.
• Strong expertise in at least one Earth Sciences domain 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.

Preferred Qualification

• 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 .

Nice to Have

• 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.

Availability

• Full-Time – 40 Hours per Week
• Minimum 4 hours of PST overlap per day
• Immediate availability preferred

Interested candidates kindly share your updated CV to [email protected]

Thanks & Regards,

RaviTeja K

ZettaMine