9 days ago

Geoscientist

Micro1

Hybrid
Part Time
$95,000
Hybrid

Job Overview

Job TitleGeoscientist
Job TypePart Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$95,000
LocationHybrid

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Job Description

Geoscientist at micro1

Join our customer's team as a Geoscientist, 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.

Key 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.

Required Skills and Qualifications

  • Bachelor’s or advanced degree in Geosciences, Geology, Geophysics, Earth Sciences, or a closely related field.
  • Proven experience in geological data collection, analysis, and interpretation, including field studies and laboratory work.
  • Proficiency with geological, geophysical, or geochemical analysis software and data visualization tools.
  • Exceptional written and verbal communication skills, with the ability to translate complex scientific findings to diverse audiences.
  • Strong analytical skills and attention to detail, with a passion for accuracy and scientific rigor.
  • Demonstrated collaborative approach, thriving in multidisciplinary and remote team environments.
  • Knowledge of AI concepts or willingness to learn and apply AI in geoscience workflows.

Preferred Qualifications

  • Prior experience as a project geologist, environmental protection geologist, or in similar specialist roles (e.g., mineralogist, stratigrapher, geodesist, seismologist).
  • Familiarity with AI data labeling, annotation, or training pipelines in technical or scientific domains.
  • Experience communicating with and mentoring technical and non-technical stakeholders.

Key skills/competency

  • Geoscience
  • Artificial Intelligence (AI)
  • Data analysis
  • Geological interpretation
  • Mineralogy
  • Stratigraphy
  • Seismology
  • Earth science data
  • Data visualization
  • Environmental assessment

Tags:

Geoscientist
Geoscience
AI training
Data analysis
Geological interpretation
Resource exploration
Environmental assessment
Data validation
Model training
Scientific communication
Risk assessment
AI models
Data visualization tools
Geophysical software
Geochemical software
Geological software
Machine learning
Data annotation
GIS
Remote sensing

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How to Get Hired at Micro1

  • Research micro1's mission: Study their innovative approach to integrating geoscience with AI, values, and recent projects on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight your geoscience background, data analysis skills, and any experience with AI concepts or machine learning workflows.
  • Showcase problem-solving: Provide specific examples of how you've analyzed complex geological data or contributed to environmental problem-solving initiatives.
  • Prepare for technical questions: Be ready to discuss geological interpretation, data visualization tools, and how your geoscience expertise applies to AI model validation.
  • Emphasize communication: Practice articulating complex scientific findings clearly to diverse, cross-functional technical and non-technical teams.

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