
Geological Data Analyst | Remote
Department:Data Analysis
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Associate
Salary:$114,400 - $216,320
Skills:
GEOLOGICAL DATA ANALYSISAI SOLUTIONSLABORATORY INSTRUMENTATIONDATA ANNOTATIONGEOLOGICAL MAPPINGDRILL CUTTINGS ANALYSISREMOTE COLLABORATIONMACHINE LEARNING
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Job Description
Posted on: April 20, 2026
Position: Geological Technician Expert Type: Contract Compensation: $55 – $104/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities
- Collaborate with scientists and engineers to support AI solutions for geological data analysis and interpretation.
- Utilize and guide the use of electronic, sonic, and nuclear measuring instruments in laboratory and field environments to collect resource data.
- Review, annotate, and validate datasets and sample analyses to improve AI training accuracy.
- Prepare geological notes, sketches, maps, and cross-sections to support modeling and machine learning processes.
- Analyze drill cuttings, mud samples, and well or borehole characteristics such as pressure and temperature.
- Compile and organize operational and testing data for AI training and technical evaluation.
- Participate in remote surveys and project meetings, sharing technical insights with multidisciplinary teams.
Requirements
- Proven experience as a Geological Technician or related role such as Core Inspector, Geotechnician, or Geological E-Logger.
- Strong knowledge of laboratory apparatus, geological instrumentation, and testing protocols.
- Experience compiling, logging, and interpreting geological data with high accuracy.
- Ability to prepare geological sketches, maps, and technical cross-sections.
- Experience assisting in geological, geophysical, geochemical, or exploratory drilling programs.
- Strong communication skills suitable for remote collaboration.
- Experience in data annotation or dataset preparation supporting AI or machine learning initiatives.
- High attention to detail and commitment to technical documentation accuracy.
Application Process
- Upload resume
- Interview (15 min)
- Submit form
Originally posted on LinkedIn
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