Geologist – AI Trainer
Location | Dar es Salaam, Tanzania, United Republic of |
Date Posted | May 31, 2025 |
Category | IT / Information Technology |
Job Type | Full-time |
Currency | TZS |
Description

About the job
Job Title: Geologist - AI Trainer
Job Type: Full-time
Location: Remote
Job Summary:
Join our customer's team as a Geologist – AI Trainer, where your geological expertise will help shape the next generation of artificial intelligence models in earth sciences. In this pioneering role, you will leverage your knowledge in field mapping, rock and mineral identification, and geoscience data analysis to train AI systems on complex geology concepts. This is a unique opportunity to impact cutting-edge AI technology while collaborating with passionate professionals in a fully remote setting.
Key Responsibilities:
- Develop high-quality training data and validate AI outputs on geology topics, ensuring accuracy and relevance.
- Apply field mapping and sampling experience to create realistic geological scenarios and case studies.
- Annotate and review geological datasets, including rock, mineral, and stratigraphic information, for AI learning.
- Collaborate with data scientists and AI engineers to translate geoscience concepts into actionable AI training tasks.
- Utilize GIS tools to enhance spatial data representation and interpretation for machine learning applications.
- Draft comprehensive technical documentation and training materials reflecting best geological practices.
- Provide feedback and insights to refine AI models, drawing from expertise in structural geology, geochemistry, and geophysics.
Required Skills and Qualifications:
- Bachelor’s or Master’s degree in Geology, Earth Sciences, or a related discipline.
- Proven experience in field mapping & sampling, and rock & mineral identification.
- Solid understanding of stratigraphy, sedimentology, and structural geology.
- Competency in geochemistry and geophysics fundamentals.
- Proficient with Geographic Information Systems (GIS) and geoscientific data analysis.
- Strong skills in core logging, well logging, and technical report writing.
- Exceptional written and verbal communication, with a keen attention to detail and clarity.
Preferred Qualifications:
- Experience in AI, data annotation, or machine learning projects related to geosciences.
- Advanced experience with GIS analysis or geological modeling software.
- Demonstrated ability to convey complex scientific concepts to cross-functional technical teams.