Geospatial Analyst

Innodata Inc.

Philippines

Remote

PHP 700,000 - 1,100,000

Full time

6 days ago
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Job summary

Innodata Knowledge Services Inc. is seeking experienced geospatial professionals to join our remote team. You will work on AI and data-driven projects using satellite imagery, GIS layers, and geographic datasets.

Ideal candidates hold an M.Sc./M.Tech in Remote Sensing, Geoinformatics or a related field, have 3+ years of hands-on experience with Landsat, Sentinel or SAR data, and possess strong analytical skills and attention to detail. This is a remote role with no relocation.

Qualifications

  • M.S./M.Tech in Remote Sensing, Geoinformatics, Geography, or a related field.
  • 3+ years of relevant professional experience.
  • Hands-on experience with Landsat, Sentinel, or SAR data.

Responsibilities

  • Provide geospatial analysis for AI and data-driven projects remotely.
  • Work with satellite imagery, GIS layers, and geospatial datasets to deliver insights.

Skills

Analytical skills
Attention to detail

Education

M.Sc./M.Tech in Remote Sensing, Geoinformatics, Geography

Tools

Landsat/Sentinel/SAR data

Job description

Are you passionate about geospatial technology, satellite imagery, mapping, and geographic data? Here’s an opportunity to use your expertise to support exciting AI and data-driven projects — all while working remotely!

Innodata Knowledge Services Inc. is looking for experienced professionals to join our team as:

What You’ll Work With:
  • Satellite and aerial imagery
  • Precision agriculture and forestry data
  • GIS layers and geospatial datasets
  • Remote sensing and geographic information
What We’re Looking For:
  • M.Sc./M.Tech in Remote Sensing, Geoinformatics, Geography, or a related field
  • 3+ years of relevant professional experience
  • Hands-on experience working with Landsat, Sentinel, or SAR data
  • Strong analytical skills and attention to detail

No need to relocate or report to an office — work remotely while contributing your specialized expertise to exciting geospatial and data-driven projects.

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