Geology Field Technician (Remote)

Overview

• **Title:**

Geology Field Technician (Remote)

• **Engagement:**
• Hourly contract (independent contractor)
• **Rate:**

Job Summary

Geological Technician Expert – AI Trainer

Key Responsibilities

• Collaborate with scientists and engineers to develop AI solutions for geological data analysis and interpretation.
• Use and instruct on laboratory instrumentation, including electronic, sonic, and nuclear devices, across exploration, production, and research environments.
• Review, annotate, and provide expert feedback on geological datasets, sample analyses, and operational records to improve AI model accuracy.
• Prepare sketches, geological maps, and cross-sections to support machine learning workflows.
• Analyze mud, drill cuttings, and other borehole data (pressure, temperature, and related metrics) for AI training purposes.
• Compile, log, and organize field and lab data for further analysis and AI dataset preparation.
• Participate in virtual surveys, exploratory project meetings, and knowledge-sharing sessions with both technical and non-technical teams.

Required Skills And Qualifications

• Proven experience as a

Geological Technician

• or related roles (e.g., Core Inspector, Geotechnician, Geological E-Logger).
• Advanced knowledge of laboratory and field instrumentation, measurement techniques, and geological testing protocols.
• Exceptional written and verbal communication skills, with a strong emphasis on clarity for remote collaboration.
• Strong attention to detail in compiling, logging, and interpreting geological data.
• Proficiency in preparing sketches, geological maps, and cross-sectional diagrams.
• Experience assisting in geological, geophysical, geochemical, or oceanographic surveys and exploratory drilling programs.
• Passion for advancing AI through precise data labeling, annotation, and subject-matter expertise.

Preferred Qualifications

• Prior experience training AI or machine learning models in scientific or technical domains.
• Background in environmental sampling, materials testing, or geoscience research.
• Familiarity with digital tools and platforms for remote collaboration, dataset management, and AI workflow integration.
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