GIS-Remote sensing-QA

Jobgether SRL; India; Hybrid; INR 600,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work option

Exposure to high-res imagery and GIS/"

Job summary

Jobgether SRL seeks an experienced GIS/Remote Sensing QA Specialist based in India to analyze high-resolution satellite imagery and validate geospatial datasets. You will perform feature extraction, change detection, and maintain datasets in SHP, GeoJSON, and GeoTIFF formats.

Collaborating with project teams, you will document methods, communicate discrepancies, and produce concise maps and analytical outputs to support data-driven mapping projects with real-world impact.

Qualifications

• 4–5 years of professional experience in GIS/remote sensing or related field.
• Hands-on experience with high-resolution satellite/aerial imagery.
• Ability to perform multi-temporal imagery comparison and change detection.

Responsibilities

• Interpret imagery to identify, classify, and assess features and changes in built environments.
• Digitize and maintain spatial features using QGIS/ArcGIS.
• Perform QA/QC to ensure accuracy, completeness, and reliability of deliverables.

Skills

GIS

Remote sensing

Satellite imagery interpretation

QA/QC

QGIS

ArcGIS

Geospatial data management

Change detection

Education

Bachelor's or Master's in Geography/Geoinformatics/RS

Geospatial-related degree

Tools

QGIS

ArcGIS

SHP

KML/KMZ

GeoJSON

GeoTIFF

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a GIS-Remote Sensing-QA based in India.

This role offers an opportunity to work at the intersection of GIS, remote sensing, imagery interpretation, and geospatial quality assurance.

You’ll analyze high-resolution satellite and aerial imagery to identify physical features and detect changes across different time periods.

Your work will help ensure spatial datasets are accurate, complete, consistent, and reliable for downstream project use.

You’ll combine visual interpretation with digitization, spatial analysis, validation, and structured quality-control processes.

The role involves working with tools such as QGIS and ArcGIS and managing a range of common geospatial data formats.

You’ll collaborate with project teams to document findings, communicate discrepancies, and produce clear maps and analytical outputs.

This is a strong opportunity for an experienced geospatial professional to contribute to data-driven mapping and analysis projects with real-world impact.

Accountabilities

• Interpret high-resolution satellite and aerial imagery to identify, classify, and assess physical features and changes within the built environment.
• Compare imagery captured at different dates to identify spatial changes and document observations accurately and consistently.
• Validate interpreted features against reference datasets, identify discrepancies, and record uncertainty where applicable.
• Digitize, update, and maintain spatial features and associated attributes using QGIS and/or ArcGIS.
• Assess imagery suitability for analysis by considering spatial resolution, acquisition date, cloud cover, shadows, and other image-quality factors.
• Perform detailed geospatial QA/QC checks to verify the accuracy, completeness, consistency, and reliability of project deliverables.
• Prepare, validate, and manage datasets in formats such as SHP, KML/KMZ, GeoJSON, and GeoTIFF.
• Document analytical methods, observations, quality findings, and project outcomes in a clear and structured manner.
• Create maps and concise analytical summaries to communicate findings effectively to project stakeholders.
• Support project teams in resolving data discrepancies and maintaining consistent geospatial interpretation standards.

Requirements

• 4–5 years of professional experience in GIS, remote sensing, satellite imagery interpretation, or a closely related field.
• Hands-on experience working with high-resolution satellite and/or aerial imagery.
• Strong visual interpretation skills, including the ability to recognize built features, land disturbance, surface characteristics, and changes over time.
• Experience with multi-temporal imagery comparison, change detection, feature validation, and reference-data analysis.
• Proficiency with QGIS and/or ArcGIS for visualization, digitization, spatial analysis, and geospatial data management.
• Strong understanding of imagery quality factors, including resolution, acquisition timing, cloud cover, shadows, and their impact on interpretation confidence.
• Practical experience performing geospatial quality assurance and quality control.
• Familiarity with SHP, KML/KMZ, GeoJSON, GeoTIFF, and other commonly used GIS data formats.
• Strong attention to detail and the ability to identify subtle inconsistencies or spatial discrepancies.
• Good analytical, organizational, documentation, and communication skills.
• Ability to work independently while maintaining consistent quality standards and project timelines.
• Experience interpreting urban imagery or mapping the built environment is preferred.
• Familiarity with commercial high-resolution satellite imagery providers or imagery platforms is an advantage.
• Bachelor’s or Master’s degree in Geography, Geoinformatics, Remote Sensing, Civil Engineering, Urban Planning, or a related discipline.

Benefits

• Full-time consultant/freelancer opportunity based in India.
• Onsite or hybrid working arrangement, depending on project requirements.
• Opportunity to work extensively with high-resolution satellite and aerial imagery.
• Hands-on experience across GIS, remote sensing, geospatial analysis, and quality assurance.
• Opportunity to contribute to projects involving urban mapping, built-environment analysis, and change detection.
• Exposure to widely used GIS tools and industry-standard geospatial data formats.
• Collaborative environment with opportunities to support project teams and contribute to high-quality geospatial deliverables.
• Professional opportunity to further develop expertise in GIS, remote sensing, imagery analysis, and geospatial QA/QC.