Consultant, Early Action & Risk Tracking Hub (eEARTH)
WFA Digital Insight
The demand for remote sensing and machine learning specialists has grown exponentially in recent years, with a reported 25% increase in job postings in 2025 alone. As companies like International Crisis Group invest in cutting-edge technologies to monitor and analyze global changes, the need for skilled professionals who can interpret satellite data and develop AI-based systems has never been more pressing. With its commitment to using technology for social impact, International Crisis Group stands out as a leader in this space, and candidates with a passion for geospatial analysis and machine learning should take note. Before applying, candidates should be aware that this role requires a unique blend of technical expertise and global awareness, as well as the ability to work independently in a remote setting.
Job Description
About the Role
The Consultant, Early Action & Risk Tracking Hub (eEARTH) role at International Crisis Group is a unique opportunity for a skilled remote sensing and machine learning specialist to join a global team working on cutting-edge projects. As a key member of the eEARTH team, you will provide technical expertise and guidance on the development of an AI-based system for detecting infrastructure changes from satellite data. Your work will have a direct impact on the organization's ability to monitor and analyze global changes, and you will be working closely with a team of experts in the field.The eEARTH platform is a broader initiative focused on the analysis of climate, resource, and conflict-related dynamics, and the infrastructure monitoring module is a critical component of this project. The module aims to support the monitoring of critical infrastructure developments and changes over time using satellite imagery, and your expertise will be instrumental in shaping the technical direction of this project.
What You Will Do
- Provide technical backstopping and expert guidance to the Crisis Group team during the development of the AI-based system for detecting infrastructure changes from satellite data
- Advise on appropriate data selection and machine learning approaches for infrastructure change detection
- Review methodological choices and troubleshoot technical issues
- Provide feedback on interim and final outputs
- Develop and implement a scalable and efficient monitoring pipeline
- Design and implement data ingestion and updating workflows
- Automate and schedule frequent monitoring
- Develop strategies for generalizing across different geographies
- Recommend best practices for maintaining model performance over time
- Review and provide expert assessment of the implemented system once operational
What We Are Looking For
- Demonstrated expertise in machine learning and/or deep learning applied to geospatial or remote sensing data
- Experience working with satellite imagery, including Sentinel-1, Sentinel-2, or comparable datasets
- Familiarity with change detection techniques and time-series analysis
- Experience designing scalable data pipelines and monitoring systems
- Ability to work independently in a remote setting
- Strong communication and collaboration skills
- Experience with cloud-based platforms and services
- Familiarity with data visualization tools and techniques
Nice to Have
- Experience working with global teams and stakeholders
- Familiarity with conflict-related dynamics and geopolitical analysis
- Experience with data labeling and annotation
- Knowledge of programming languages such as Python or R
- Experience with containerization and orchestration tools such as Docker or Kubernetes
Benefits and Perks
- Opportunity to work on cutting-edge projects with a global impact
- Collaborative and dynamic work environment
- Flexible working hours and remote work arrangements
- Professional development opportunities
- Access to cutting-edge technologies and tools
- Competitive compensation and benefits package
- Opportunity to work with a global team of experts
- Chance to make a meaningful contribution to the field of remote sensing and machine learning
How to Stand Out
- Be prepared to provide examples of your experience working with satellite imagery and machine learning algorithms
- Highlight your ability to work independently and collaboratively in a remote setting
- Emphasize your understanding of change detection techniques and time-series analysis
- Showcase your portfolio of projects and experiences working with geospatial data
- Prepare to discuss your approach to designing scalable data pipelines and monitoring systems
- Research the organization and be prepared to discuss how your skills and experience align with their mission and goals
- Be ready to negotiate your compensation and benefits package based on your experience and qualifications
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