[7Y05WX4E] Pod Lead - Scientific Computing / Research Engineering Expert - Earth Sciences

Hello,

Greetings from ZettaMine!!!

Freelancing Opportunity :- We are hiring a Pod Lead – Scientific Computing / Research Engineering Expert — Earth Sciences (Terminal Bench Science) for a short-term Frontier AI Research, Scientific Computing & Earth Sciences Evaluation project across the following locations:

Eligible Locations: 🇧🇩 Bangladesh | 🇧🇷 Brazil | 🇨🇴 Colombia | 🇪🇬 Egypt | 🇬🇭 Ghana | 🇮🇳 India | 🇮🇩 Indonesia | 🇰🇪 Kenya | 🇳🇬 Nigeria | 🇹🇷 Turkey | 🇻🇳 Vietnam

Role: Pod Lead – Scientific Computing / Research Engineering Expert — Earth Sciences (Terminal Bench Science)

Educationcal Eligibility : PhD, postdoctoral experience, or equivalent advanced technical experience in Earth Sciences, Climate Science, Atmospheric Science, Geophysics, Oceanography, Geology, Hydrology, Environmental Science, or a closely related discipline

Mode: Remote

Start: Immediate

Duration: 4 Weeks

Mandatory Eligibility Criteria

Technical Qualification:

• Strong programming skills in Python, R, Bash, Julia, or another relevant scientific programming language.
• Hands-on experience working in Linux and terminal-based computational environments.
• Practical expertise in at least one major area: Scientific Data Processing | Numerical Modeling | Geospatial Analysis | Climate Modeling | Remote Sensing | Environmental Data Analysis.
• Strong understanding of spatial datasets, time-series analysis, scientific modeling, numerical accuracy, uncertainty, and data quality control.
• Experience working with real-world scientific datasets, including geospatial, climate, atmospheric, oceanographic, geological, or hydrological data.
• Ability to independently develop, execute, debug, and validate reproducible scientific computational workflows.
• Strong analytical and problem-solving skills to identify scientific inaccuracies, data inconsistencies, and computational errors.
• Ability to design objective validation methods and clearly document technical solutions and scientific assumptions.

Availability

• Minimum 40 hours per week.
• Availability to work at least 8 hours per day.
• Minimum 4 hours of overlap with PST business hours.

What You’ll Work On

• Design realistic, multi-step scientific tasks based on authentic Earth Sciences, climate science, geospatial, environmental, and geophysical research workflows.
• Prepare and process scientific datasets involving climate, weather, atmospheric conditions, oceanography, geology, hydrology, satellite imagery, and environmental systems.
• Develop computational tasks involving geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, and environmental risk analysis.
• Build reproducible, terminal-based computational environments using scientific libraries, command-line tools, and appropriate dependencies.
• Develop expert reference solutions using Python, R, Bash, Julia, or domain-specific scientific software.
• Create automated tests and evaluation criteria to verify scientific correctness, numerical accuracy, spatial and temporal consistency, and reproducibility.
• Validate coordinate reference systems, measurement units, timestamps, missing-data handling, uncertainty, and scientific assumptions.
• Troubleshoot technical issues involving geospatial projections, large scientific datasets, software dependencies, computational performance, and numerical stability.
• Ensure tasks require meaningful multi-step scientific reasoning and cannot be solved through simple shortcuts or hard-coded outputs.
• Document dataset sources, computational workflows, expected outputs, edge cases, and scientific limitations.
• Develop and validate scientific benchmarks that help evaluate the reasoning and computational capabilities of AI models.

Interested candidates: Please share your updated CV and LinkedIn profile at md.afreen@zettamine.com

Thanks & Regards,

Saranya M (Afreen)

ZettaMine