GEOOE is building a next-generation Cognitive AI Analytical Core for geological, 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:

[via CTgoodjobs Apply Now]

(This position is open on a rolling basis.)

GEOOE Geo-Intelligence

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