Geo-information, Corporate and Professional Training Facilitators
AI summary
RCMRD is hiring part-time Geo-information, Corporate and Professional Training Facilitators in Nairobi to teach and mentor students in geospatial and related programmes, prepare learning materials, conduct practical training, assess students, supervise projects, support research, and contribute to curriculum development. The role requires a relevant Master's degree and at least two years of relevant professional or industry experience.
- Part-time middle-level facilitator role based in Nairobi
- Deadline to apply is 04/10/2026
- Requires a relevant Master's degree and at least 2 years' experience
- Focus on geospatial, Earth observation, remote sensing and related training
- On-site position with teaching, mentoring and curriculum development duties
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists Open. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- Required2+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, internship, part_timeThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Part Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Geo-information, Corporate and Professional Training Facilitators evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Regional Centre for Mapping of Resources for Development (RCMRD) and the role in Not specified.
- Add concrete examples related to security, internship, part_time, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Corporate Staffing Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Plan to submit before the listed deadline: 2026-10-04.
Source and safety check
- Corporate Staffing Kenya
- Original source link available
- Application method is clear
- Deadline is available: 2026-10-04
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Geo-information, Corporate and Professional Training Facilitators role in security, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Regional Centre for Mapping of Resources for Development (RCMRD) before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Job Title: Geo-information, Corporate and Professional Training Facilitators
Date Posted: 21/09/2026
Job Type: Part Time
Job Level: Middle
Employer: Regional Centre for Mapping of Resources for Development (RCMRD)
Industry: IT
Salary: Open
Location: Nairobi
Country: Kenya
Deadline: 04/10/2026
Engineering Jobs, RCMRD Jobs. Responsible for teaching and mentoring students in geospatial and related programmes, preparing learning materials, conducting practical training, assessing students, supervising projects, supporting research activities, and contributing to curriculum development and academic programmes. Requires a relevant Master’s degree or higher in area of interest with relevant teaching or industry experience. The positions are based in Nairobi and require on-site work.
Qualifications
Applicants should hold at least a Bachelor’s Degree and Masters Degree in Remote Sensing, Geomatics, Geomatic Engineering, Geoinformatics, Geographic Information Systems (GIS), Environmental Science, Physics, Computer Science, Artificial Intelligence, Data Science, Statistics, Software Engineering, Data Engineering, Information Security, Land Administration, Surveying, Geodesy, Civil Engineering, Electrical Engineering, Electronics Engineering, Computer Engineering, Aerospace Engineering, Mechanical Engineering, Space Engineering, Mechatronics Engineering, Robotics, Urban Planning, Architecture, Design, Business, Economics, or any other closely related field.
Professional
Experience
- Applicants should have a minimum of two (2) years of relevant professional and/or industry
- in geospatial technologies, Earth observation, remote sensing, artificial intelligence, data science, space science, engineering, environmental monitoring, land administration, smart infrastructure, corporate training, professional training, or a related field.
- Professional
Qualifications and Skills
- Applicants should possess professional certifications and/or demonstrated competency in one ormore of the following areas:
- Hyperspectral Image Analysis and Spectral Library Development
- Image Classification Algorithms
- Mineral and Vegetation Mapping
- Synthetic Aperture Radar (SAR) and InSAR Processing
- SNAP and SARscape
- Google Earth Engine
- Flood and Deforestation Mapping
- Ground Deformation Monitoring
- TensorFlow, PyTorch and Convolutional Neural Networks (CNNs)
- Transfer Learning and GeoAI
- Object Detection, including YOLO and Mask R-CNN
- Image Annotation and Labelling
- Cloud Computing, including AWS, Microsoft Azure and Google Cloud Platform
- Scalable Geospatial Pipeline Design
- Spatial Statistics, Spatial Regression and Predictive Modelling
- Machine Learning, Scikit-learn and R Programming
- Natural Language Processing (NLP) and Large Language Model (LLM) Integration
- Market Analysis, Geospatial Value Chain Development and Business ModelDevelopment
- Satellite Communications, Ground Station Operations, Telemetry, Tracking andCommand (TT&C)
- Chatbot Development and Spatial Database Automation
- Open Geospatial Consortium (OGC) Standards and ISO 19115 Metadata
- Spatial Data Infrastructure (SDI), GeoServer and GeoNode
- ArcGIS Hub and OGC Web Services (WMS, WFS and WMTS)
- Cloud Data Lakes, Distributed Computing, Hadoop and Spark
- Data Warehousing and Land Information Management Systems (LIMS)
- Land Governance and Fit-for-Purpose Land Administration (FFP-LA)
- Partnership and Grant Management
- CubeSat Design and Payload Integration
- Space Systems Engineering and Space Weather
- Meteorology and CORS Network Management
- Precise Point Positioning (PPP)
- Digital Twin Technologies, ArcGIS CityEngine, Cesium and Bentley iTwin
- Internet of Things (IoT) Integration
- LiDAR Processing, Point Cloud Classification and 3D Modelling
- Building Information Modelling (BIM)
- Unity, Unreal Engine, Augmented Reality (AR) and Virtual Reality (VR)
- BIM-GIS Interoperability and Industry Foundation Classes (IFC)
- Infrastructure Digital Twins and Indoor Positioning Systems
- IndoorGML and IoT Sensor Networks
- LoRaWAN and Sigfox
- Blockchain for Land Administration
- Geospatial Data Security
- Autonomous Drone and Unmanned Ground Vehicle (UGV) Operations
- Swarm Robotics and Remotely Piloted Aircraft Systems (RPAS)
- Civil Aviation Regulatory Compliance
- Cybersecurity and Critical Infrastructure Protection