Critical Minerals learning (AI based) engineer

We are the team behind LearnToDrill, an award-winning training platform that has trained over 40,000 engineers globally using simulators and interactive e-learning.

Under our new brand GeoSkills.ai, we are now moving beyond energy to build the world’s most advanced AI-powered training ecosystem for:

• Rare Earth Elements (REE) Extraction
• Critical Minerals Processing
• Hydrometallurgy & Solvent Extraction (SX)
• Beneficiation & Mineral Separation
• Advanced Manufacturing & Strategic Materials

We combine AI, simulation, and technical content development to train the next generation of workforce in rare earth and critical mineral technologies.

Role: AI-Learning Engineer – Critical Minerals & Rare Earth Extraction

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The Opportunity

Imagine combining your engineering background with cutting-edge AI to create learning experiences the industry has never seen. You’ll design intelligent simulators, generate adaptive courses, and make rare-earth extraction and critical-minerals processing accessible to learners worldwide. This isn’t traditional course creation—this is AI-augmented education engineering for one of the world’s most strategic industries.

What You'll Do

1. Build AI-Powered Learning Systems

• Use AI agents to develop and refine rare-earth & critical-mineral training modules
• Convert technical papers, patents, and manuals into interactive learning content
• Create adaptive assessments that adjust to learner performance

2. Develop Next-Generation Simulations

• Leverage AI + mathematical models to build simulations for rare earth energy
• Translate equations, mass balance, and process kinetics into simple simulation logic
• Design interactive exercises that connect theory to real industrial workflows

3. Technical Content Engineering

• Research emerging rare-earth extraction technologies
• Simplify complex chemical/metallurgical concepts for students, professionals, and career-switchers
• Develop structured learning pathways, slides, quizzes, diagrams, and job aids

4. Platform & Product Innovation

• Test and improve our

  AI course-generation pipeline

• Contribute ideas for adaptive learning features and personalized AI tutoring
• Influence product decisions using learner data and instructional best practices

Who We’re Looking For

Must-Have:

• B.Tech / M.Tech in Chemical Engineering or Metallurgical/Materials Engineering
• (Mechanical or Petroleum Engineering acceptable only with relevant hydrometallurgy/mineral-processing experience)
• Strong fundamentals in mass transfer, thermodynamics, and chemical process engineering
• Excellent English communication and ability to simplify technical topics
• Comfortable using AI tools (ChatGPT/LLMs)
• Research skills and ability to synthesize complex information

Preferred:

• Graduates from IITs or premier institutes
• Experience with hydrometallurgy, mineral processing, SX/IX, precipitation, roasting/calcination
• Experience in teaching, content creation, presentations, or technical documentation
• Familiarity with Python/MATLAB/Aspen/HYSYS is a bonus
• Familiarity with e-learning platforms or educational technology

Why Join GeoSkills.AI

• Work with a globally recognized team that pioneered simulation-based energy learning
• Shape the future of AI-powered education in the energy transition sector
• High ownership, fast growth, and direct collaboration with global experts
• Hands-on experience with cutting-edge AI tools and simulator development platforms
• Chance to create real impact in critical minerals education

Your Impact

You will help build next-generation learning experiences by:

AI-Generated Training Content

• Using AI to create clear modules on rare-earth extraction, hydrometallurgy, SX/IX, leaching, roasting, calcination, and purification
• Turning technical papers and process data into structured, beginner-friendly lessons

Interactive Process Simulators

• Designing simulation logic for SX loops, ion-exchange systems, hydrometallurgical circuits, and beneficiation flowsheets
• Applying mass balance, kinetics, and thermodynamics to build realistic training simulations

Adaptive Learning Paths

• Creating AI-powered personalized learning journeys for students, professionals, and career-switchers

Advanced Technical Content

• Simplifying complex chemical and metallurgical concepts into clear explanations and visual learning materials

Smart Assessment Systems

• Building AI-driven assessments that detect learning gaps and provide targeted feedback