GEOOE is building a next-generation Cognitive AI Analytical Core for environmental, geotechnical, and infrastructure monitoring — designed to work across real-time systems, low-frequency inspection data, and manual measurements.

We are looking for part-time engineers (remote) to join us in developing this system.

Role Focus

• Design and implement AI / analytical modules for environmental & geotechnica data
• Work on time-series analysis, anomaly detection, and pattern recognition
• Support development of Edge AI workflows for field or near-device processing
• Integrate heterogeneous data sources (manual, periodic, real-time)
• Contribute to system-level architecture (not just isolated models)

Preferred Background

• Strong interest in applying AI to physical monitoring systems
• AND Environmental Engineering / Geotechnical Engineering / Geological Engineering

Technical Profile (any combination)

• Python (data processing, modeling, or backend)
• Time-series analysis / anomaly detection
• IoT / sensor data / edge computing experience
• Basic understanding of physical systems (soil, groundwater, structures, environment)

What This Is (and Is Not)

• Not a generic AI role — this is physical-world AI
• Not a large team — you will work directly on core architecture
• Not short-term freelance — we are looking for long-term collaborators

Working Mode

• Part-time, fully remote
• Flexible hours, output-driven
• Opportunity to grow into core technical roles as the system evolves

Why Join

• Work on a patent-backed system architecture at the intersection of AI and physical environment
• Contribute to a new category: environmental monitoring cognition systems
• Collaborate across domains: engineering, AI, and real-world deployment

If you are interested, please reach out with your background and experience:

careers@geooe.com

(This position is open on a rolling basis.)