Geospatial Careers
Open intelligence layer for the people building the planet's spatial layer.
Maintained by Gerardo Ezequiel Martin Carreno. Based in London. Build-in-public on LinkedIn and at geospatial.careers.
What we publish here
Open datasets, models, and methodology for the geospatial labour market. Cross five lenses:
- Demand — job postings across 35 countries and 14 official data sources
- Supply — open-source library activity (GitHub releases, contributors)
- Adoption — downloads from PyPI, npm, CRAN, Docker Hub, Hugging Face
- Research — papers and grants from OpenAlex, arXiv, NSF, UKRI, CORDIS
- Capital — funding events, M&A, IPO filings from official registries
Everything operates under a no-scraping commercial-data policy: official APIs, licensed sources, and permissive open data only.
In flight (Q2 2026)
| Repo | Type | Status |
|---|---|---|
helper-seniority-v1 |
model | training |
helper-title-v1 |
model | training |
helper-skill-rag-v1 |
model | training |
helper-salary-quantile-v1 |
model | training |
champion-multi-task-v1 |
model | architecture review |
champion-narrative-v1 |
model | architecture review |
champion-graph-v1 |
model | architecture review |
gold-seniority-2026 |
dataset | annotation in progress |
state-of-geo-2026-dataset |
dataset | curation in progress |
All currently private; releases land with the State of Geospatial 2026 report.
Methodology
Every claim ships with the source, the query, and the model version. Read the full methodology and verification queries at geospatial.careers/methodology when published.
Contact
- Partnerships / employer enquiries:
jobs@geospatial.careers - General:
hello@geospatial.careers - Founder direct:
me@geospatial.careers
Licence
Datasets: CDLA-Permissive-2.0 unless otherwise noted. Models: Apache 2.0 unless otherwise noted.