Geotechnical Engineer MSc (Freelancer)

Soul Ai

United States

Remote

USD 55,000 - 110,000

Part time

38 hours ago
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Job summary

Soul Ai is seeking highly skilled Geotechnical Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AI's understanding and performance.

As a freelancer, you will assess AI-generated mining and geological models, provide technical feedback on AI-driven excavation solutions, and help enhance the AI's geotechnical

Qualifications

  • Strong academic background in Mining Engineering (MSc preferred).
  • Teaching, tutoring, or content creation experience is a plus.
  • Familiarity with AI, machine learning, or data annotation is beneficial.
  • Strong analytical skills and attention to detail.

Responsibilities

  • Assess AI-generated mining and geological models.
  • Provide technical feedback on AI-driven excavation and drilling solutions.
  • Enhance AI's understanding of geotechnical assessments.

Skills

Analytical thinking
Geotechnical engineering knowledge
Data annotation
Remote collaboration

Education

MSc in Mining Engineering

Tools

AI data annotation tools

Job description

We are looking for highly skilled Geotechnical Engineers (freelancers) to contribute to AI training through data annotation and domain-specific expertise. This is a remote, flexible opportunity where you can work on cutting-edge AI projects, applying your domain knowledge to refine AIs understanding and performance.

Key Responsibilities
  • Assess AI-generated mining and geological models.
  • Provide technical feedback on AI-driven excavation and drilling solutions.
  • Enhance AIs understanding of geotechnical assessments.
Must Required Traits
  • Strong academic background in Mining Engineering (MSc preferred).
  • Teaching, tutoring, or content creation experience in the field is a plus.
  • Familiarity with AI, machine learning, or data annotation is beneficial.
  • Strong analytical skills and attention to detail.
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