Profile cover
V

AI Soil Carbon Stock Estimation Engineer

Violet Adeyemi

Full-time · Job · Denver

About the role

Soil stores more carbon than the atmosphere and all living vegetation combined. Knowing how much carbon is stored in a given parcel of agricultural or forested land — the soil organic carbon stock — is critical for carbon credit verification, regenerative agriculture program measurement, and national greenhouse gas inventories. Direct measurement requires soil core sampling, laboratory analysis, and expert interpretation: expensive, time-consuming, and spatially sparse. ML-based soil carbon estimation — combining satellite-derived spectral data, terrain analysis, climate records, and land use history to predict soil organic carbon without dense ground sampling — is an active research area. We build climate data products for research institutions and voluntary carbon market participants. Soil carbon estimation is a new product line we're developing. As a junior engineer, you'll build the data pipelines that feed the estimation models: satellite spectral data ingestion, terrain feature derivation from digital elevation models, climate variable aggregation, and the ground truth measurement database from published soil surveys. Senior data scientists design the models; you build the training data infrastructure that makes them possible.

Responsibilities

  • Build satellite spectral data ingestion pipeline for soil reflectance bands used in organic carbon proxies
  • Implement terrain feature derivation from digital elevation models: slope, aspect, curvature, drainage indices
  • Create climate variable aggregation integrating precipitation, temperature, and seasonal moisture patterns
  • Develop ground truth measurement database from published soil organic carbon surveys and field campaigns
  • Build model training data assembly joining spatial features with matched soil sampling measurements
  • Maintain pipeline as new satellite data sources and reference soil databases are added

Requirements

  • 1+ year of Python and SQL development experience
  • Basic familiarity with geospatial data or remote sensing preferred
  • Interest in environmental data science, carbon markets, or climate informatics
  • Attention to spatial data accuracy and coordinate system consistency
  • Good communication for collaborating with senior data scientists on training data requirements

Benefits

  • Fully remote with flexible schedule
  • Health and dental insurance
  • $1,500 annual learning budget
  • Mentorship from senior climate data engineers
  • Mission-driven work in climate intelligence

Keep exploring related roles

Use these topic pages to discover more roles in the same hiring cluster.

Categories

data science & analytics AI & Machine Learning Engineers

Skills

python sql pandas statistics gcp

Related remote AI jobs

Nearby roles that share similar skills, categories, or hiring intent.

Browse all jobs

Senior Product Security Engineer

RemoteAI company

Full-time Senior

AI Resident UK/EMEA

RemoteAI company

Full-time

Senior AI R&D Engineer – Model Training (f/m/d)

RemoteAI company

Full-time Senior

Senior AI Researcher- Pre-training (f/m/d)

RemoteAI company

Full-time Senior

Multimodal AI Model Optimization Research Engineer

RemoteAI company

Full-time

PhD Autonomy Engineer Intern - Computer Vision / Deep Learning Summer 2027

RemoteAI company

Full-time Intern

Job Type

Full-time

Level

Junior

Language

English

Salary Range

$60k – $80k / year

AI Expertise

data science & analytics AI & Machine Learning Engineers

Skills

python sql pandas statistics gcp airflow

Ready to apply for this role?

Create a free talent account in under 2 minutes.

  • Apply to verified AI companies
  • Get AI-matched job recommendations
  • Message hiring managers directly
  • Build your public AI talent profile
Create free account & apply Log in

Interested in this role? Create your free profile to apply.

Apply — create free profile