Earth & Environmental Science Expert – AI Projects

🔥 18 minutes ago

🌐 Bangladesh, India, +4 more countries – Remote

🇧🇩 Bangladesh – Remote 🇮🇳 India – Remote 🇮🇩 Indonesia – Remote 🇪🇬 Egypt – Remote 🇬🇭 Ghana – Remote 🇳🇬 Nigeria – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• Translate authentic Earth-science workflows into self-contained terminal-based benchmark tasks. • Prepare and structure geospatial, climate, atmospheric, geological, hydrological, or oceanographic datasets. • Build reproducible computational environments using scientific libraries and command-line tools. • Develop expert reference solutions using Python, R, Bash, Julia, or domain-specific software. • Design tasks involving geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, and environmental risk analysis. • Define objective grading criteria for scientific outputs, 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 projections, large datasets, dependencies, performance, and numerical stability. • Document data provenance, expected outputs, edge cases, assumptions, and limitations.

🎯 Requirements

• Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a closely related field. • Deep 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. • Experience working in Linux or terminal-based environments. • Ability to build, debug, and validate reproducible scientific computational workflows. • Strong understanding of scientific quality control, spatial and temporal data, uncertainty, and numerical accuracy.