Geological Technician Expert AI Trainer

Job Summary

Join micro1's team as a Geological Technician Expert AI Trainer and play a pivotal role in advancing cutting-edge AI models within the geosciences sector. Harness your expertise to help shape intelligent systems, drawing on your hands-on field and laboratory experience, while collaborating remotely with a passionate, innovative group.

Key Responsibilities

• Collaborate closely with scientists and engineers to guide the development of AI solutions for geological data analysis and interpretation.
• Utilize and instruct on the use of electronic, sonic, and nuclear measuring instruments across laboratory, exploration, and production environments to obtain resource data (metallic ore, minerals, gas, coal, petroleum).
• Review, annotate, and provide expert feedback on datasets, sample analyses, and operational records to train AI systems with industry-relevant accuracy.
• Prepare comprehensive notes, sketches, geological maps, and cross-sections to support data modeling and machine learning initiatives.
• Analyze mud and drill cuttings, as well as chart pressure, temperature, and other well or borehole characteristics, to inform intelligent automation.
• Compile, log, and organize testing or operational data for further review, analysis, and AI training purposes.
• Actively participate in virtual surveys and exploratory project meetings, sharing insights and best practices with both technical and non-technical teams.

Required Skills and Qualifications

• Proven experience as a Geological Technician or related role (Core Inspector, Geotechnician, Geological E-Logger, etc.).
• Advanced knowledge in handling laboratory apparatus, electronic measuring equipment, and geological testing protocols.
• Exceptional written and verbal communication skills, with a strong commitment to clarity and teamwork in a remote setting.
• Track record of compiling, logging, and interpreting geological data with high attention to detail and accuracy.
• Experience preparing sketches, geological maps, and technical cross-sections.
• Demonstrated ability to assist with geological, geophysical, geochemical, or oceanographic surveys and exploratory drilling programs.
• Passion for advancing AI technology through precise data labeling, annotation, and knowledge sharing.

Preferred Qualifications

• Prior experience training AI or machine learning models in a technical or scientific environment.
• Background in environmental sampling or materials testing.
• Familiarity with digital tools and platforms used for remote collaboration and dataset management.

Key skills/competency

• Geological Data Analysis
• AI Training
• Geosciences Expertise
• Machine Learning Support
• Data Interpretation
• Field Experience
• Laboratory Instruments
• Geological Mapping
• Data Annotation
• Remote Collaboration