Job Description:
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
Company: GeoSkills.AI
Location: Mumbai (In-office or Hybrid)
Type: Permanent, Full-Time
Compensation: 70,000 1lac per month
The OpportunityAI-Learning Engineer Critical Minerals & Rare Earth Extraction
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 creationthis 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 ImpactYou 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
