Join our customer's team as a Geoscientist - AI Trainer, where you will play a pivotal role at the intersection of Earth sciences and cutting‑edge artificial intelligence. You will leverage your geoscience expertise to train and guide AI models, ensuring accuracy, relevance, and quality in environmental, resource exploration, and geospatial data applications. If you are passionate about both geoscience and technology—and excel in communicating complex technical information—this is your opportunity to impact AI solutions in real‑world geoscientific challenges.
Geoscientist - AI Trainer at Micro1
Remote - Remote
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USD 55 - 104/hour
Requirements
Education
- Bachelor’s or advanced degree in Geosciences, Geology, Geophysics, Earth Sciences, or a closely related field.
Experience
- Proven experience in geological data collection, analysis, and interpretation, including field studies and laboratory work.
Skills
- geological data analysis
- geophysical data interpretation
- data visualization tools
- geoscience software
- AI concepts
- AI data annotation
- scientific communication
- field study experience
- collaboration in multidisciplinary teams
- analytical skills
- proficiency with geological, geophysical, or geochemical analysis software
- exceptional written and verbal communication skills
- strong analytical skills
- collaborative approach
- knowledge of AI concepts
Languages
- English
Responsibilities
- Collaborate with data scientists and engineers to develop, review, and validate AI training datasets drawn from geological surveys, field studies, and research outputs.
- Analyze and interpret geological, geochemical, and geophysical data using advanced software tools, providing critical insights for AI training and validation.
- Apply expertise in areas such as mineralogy, stratigraphy, and seismology to classify, annotate, and evaluate Earth science data inputs for algorithmic improvement.
- Investigate the composition, structure, and history of Earth’s crust through the examination and measurement of soils, rocks, minerals, and fossil remains.
- Assess and identify natural disaster risks—including mudslides, earthquakes, and volcanic eruptions—by synthesizing data sources and training models to recognize early indicators.
- Author clear, comprehensive documentation and communicate scientific concepts effectively to cross-functional teams in both written and verbal formats.
- Support the development and continuous improvement of AI-driven solutions for resource exploration, land reclamation, waste disposal, and environmental problem-solving.
Technologies
geoscience softwaredata visualization toolsAI conceptsAI data annotationgeological analysis softwaregeophysical analysis softwaregeochemical analysis software
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