Imdex Limited
Geoscience Data Assistant
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Perth WA, Australia
Work mode:
Hybrid
Published on:
11 September 2026
What they need
About the role
Join IMDEX as a Geoscience Data Assistant and play a key role in supporting cutting-edge geoscience and machine learning solutions. You'll apply your geoscience expertise to create and manage high-quality datasets, validate geological imagery, and support projects that drive innovation across geology, geotechnics, computer vision, and AI.
Key responsibilities
- Accurately annotate imagery using third-party or in-house annotation software to create high-quality training and evaluation datasets
- Manage standard and advanced Tech Evaluations using Datarock general and unique models and prepare standardised and bespoke summary outputs
- Assist with the sampling, processing and delivery of general model and bespoke customer products and inference outputs
- Prepare, correct, and organise standard and more complex imagery and drill hole metadata for use on the Digital OBK platform
- Undertake validation of annotated datasets, ensuring accuracy, completeness, and adherence to project guidelines
- Identify and correct errors or inconsistencies in annotations
- Collaborate with Data Coordinator, Geologists and Geotechnical Engineers, Data Scientists, ML Engineers, and project teams to understand data requirements.
About you
- Certification in Geology, Geotechnical Engineering, or a closely related discipline
- Exposure to geoscience, mining, drilling, or geological imagery
- High attention to detail and accuracy in technical task execution
- Proficiency with computers and image editing tools
- Experience with Microsoft Office Suite or similar, especially spreadsheets
- Basic familiarity with computer vision concepts or terminology
- Ability to manage multiple tasks and work to structured deadlines
- Strong written and verbal communication skills, including the ability to create and maintain training documentation
- Proven ability to work both independently and collaboratively
- Desirable: Experience using computer vision annotation tools (e.g., V7, CVAT, Labelbox, Supervisely)
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