Remote Sensing and Earth Observation Specialist

Job Description:

• Support project design, feasibility assessment, implementation, and long-term monitoring
• Analyze & model remote sensing & geospatial data for applications such as land cover/use mapping, fire risk assessment, above-ground biomass estimation, and deforestation risk modeling.
• Leverage cutting-edge technologies, including cloud computing, machine learning, and scripting languages (Python, JavaScript, SQL), to build automated workflows, enhance geospatial infrastructure, and support MRV (Monitoring, Reporting & Verification) processes.
• Support field data collection through drone coordination and validation activities, provides technical guidance and training, and ensures geospatial quality control across teams. Strong emphasis is placed on clear documentation, reporting, and communication of remote sensing outputs for both technical and non-technical stakeholders, including support for external verification and project documentation (e.g. PDDs under standards like Verra)

Qualifications:

• Bachelor's degree in (or equivalent professional equivalent) GIS, Environmental Science, Forestry, Computer Science or related fields.
• Atleast 5 years of experience in Remote Sensing & GIS
• Experience & expertise in workflow automation, machine learning/deep learning technique for image classification & segmentation (Random Forest, Linear Regression, Artificial Neural Network for nature-based solution carbon project application.
• Experience in advanced remote sensing analysis & modelling, i.e., image processing both active & passive sensor (image calibration & correction, change detection modelling Land Trendr & CCDC), & image classification
• In-depth knowledge and experience of RS/GIS implementation for forestry, conservation, land use in AFOLU carbon projects.
• Familiarity with photogrammetry software (e.g., Pix4D, DroneDeploy, Agisoft)
• Programming skills particularly in Python & Google Earth Engine.
• Familiarity with terms such as land cover, land use, and carbon project modeling.

Location: Butuan, Agusan Del Norte

Job Types: Full-time, Permanent

Pay: Php30, Php60,000.00 per month

Benefits:

• Company Christmas gift
• Company events
• Health insurance
• Life insurance
• Opportunities for promotion
• Paid training
• Pay raise
• Promotion to permanent employee

Ability to commute/relocate:

• Butuan City: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• How many experiences do you have in Remote Sensing & GIS
• Do you have knowledge or familiarity in workflow automation, machine learning/deep learning technique for image classification & segmentation (Random Forest, Linear Regression, Artificial Neural Network for nature-based solution carbon project application?
• What photogrammetry software do you know?
• How much is your current salary?
• How much is your expected salary?

Willingness to travel:

• 25% (Required)

Work Location: In person