

Crossing Hurdles
Geological Data Analyst | Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Geological Data Analyst on a contract basis, offering $55 – $104/hour for 10–40 hours/week. Requires experience as a Geological Technician or similar, strong data analysis skills, and familiarity with AI training processes. Remote work location.
🌎 - Country
United Kingdom
💱 - Currency
$ USD
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💰 - Day rate
832
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🗓️ - Date
February 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Data Analysis #ML (Machine Learning) #AI (Artificial Intelligence) #Documentation #Logging #Datasets
Role description
Position: Geological Technician Expert – AI Trainer
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
Position: Geological Technician Expert – AI Trainer
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






