ZettaMine Labs Pvt. Ltd.

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 md.afreen@zettamine.com

 

Thanks & Regards,

Saranya M (Afreen)

ZettaMine

Data

Research

Software Development

Bash

Testing

Pandas

Analysis

Data Science

Continuous Integration

Scipy

Forecasting

Quality Engineer

Python

Julia

NumPy

QGIS

Docker

CI/CD

Automated Tests

Scientific Computing / Research Engineering Expert - Earth Sciences