GIS Specialist – Energy & Infrastructure Siting
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GIS Specialist – Energy & Infrastructure Siting, offering a contract of unspecified length at an hourly pay rate of "unknown". Key skills include QGIS/ArcGIS, Python, and experience with remote sensing data. A degree in GIS or related field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Visualization #Spatial Data #Data Cleaning #Databases #Python #AI (Artificial Intelligence) #Datasets #ML (Machine Learning) #Reinforcement Learning #Pandas
Role description
Job Title: GIS Specialist – Energy & Infrastructure Siting
Role Overview:
We’re looking for a GIS Specialist to help design and implement the geospatial data backbone of our new AI agent. You will source, process, and integrate geospatial datasets (satellite, drone, and public registries) to support develop the agent.
Key Responsibilities:
Collect, clean, and manage geospatial datasets (land use, infrastructure, exclusion zones, environmental constraints).
Develop geospatial layers and pipelines for renewable energy and critical mineral geolocation analysis.
Work with the AI/ML team to prepare training datasets for reinforcement learning and computer vision models.
Build map-based interfaces for site discovery, evaluation, and reporting.
Support integration of GIS layers into automated mapping and assessment workflows.
Qualifications:
Bachelor’s or Master’s in GIS, Geoinformatics, Environmental Science, or related field.
Proficiency in QGIS/ArcGIS, Python (GeoPandas, GDAL), and spatial databases (PostGIS).
Experience with remote sensing data (Sentinel, Planet, Landsat, drone imagery).
Familiarity with renewable energy siting factors (solar, wind, transmission, land use).
Strong data cleaning and visualization skills.
Bonus:
Experience with geospatial APIs (Google Earth Engine, Planet Labs).
Knowledge of energy or mining project development workflows.
Exposure to ML/AI workflows for spatial analysis.
Why Join:
Be part of a core early-stage team building an amazing enterprise AI Agent!
Job Title: GIS Specialist – Energy & Infrastructure Siting
Role Overview:
We’re looking for a GIS Specialist to help design and implement the geospatial data backbone of our new AI agent. You will source, process, and integrate geospatial datasets (satellite, drone, and public registries) to support develop the agent.
Key Responsibilities:
Collect, clean, and manage geospatial datasets (land use, infrastructure, exclusion zones, environmental constraints).
Develop geospatial layers and pipelines for renewable energy and critical mineral geolocation analysis.
Work with the AI/ML team to prepare training datasets for reinforcement learning and computer vision models.
Build map-based interfaces for site discovery, evaluation, and reporting.
Support integration of GIS layers into automated mapping and assessment workflows.
Qualifications:
Bachelor’s or Master’s in GIS, Geoinformatics, Environmental Science, or related field.
Proficiency in QGIS/ArcGIS, Python (GeoPandas, GDAL), and spatial databases (PostGIS).
Experience with remote sensing data (Sentinel, Planet, Landsat, drone imagery).
Familiarity with renewable energy siting factors (solar, wind, transmission, land use).
Strong data cleaning and visualization skills.
Bonus:
Experience with geospatial APIs (Google Earth Engine, Planet Labs).
Knowledge of energy or mining project development workflows.
Exposure to ML/AI workflows for spatial analysis.
Why Join:
Be part of a core early-stage team building an amazing enterprise AI Agent!
