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Geoscience Data Assistant

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Hybrid

Geoscience Data Assistant

Imdex Limited

Geoscience Data Assistant

Skills

Machine LearningAI

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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