Course Trainer – Data Science & AI (Climate Tech Skilling)

We are looking for a skilled Course Trainer to deliver hands-on, technical training to undergraduate students enrolled in the AI & Data for Climate Honours Degree program. You will teach core modules including Data Science, AI/ML, GIS & Geospatial Analysis, Climate Science, and advanced AI applications, ensuring students gain practical skills and industry readiness. 

About the Program: 

This role is part of Project Mahathi, a pioneering initiative by Climate Collective Foundation and Mahathi Degree College. The program offers a first-of-its-kind AI & Data for Climate 4th Year Honours Degree, designed to equip students from low-income, Tier 2 backgrounds with cutting-edge skills in climate technology, data science, and artificial intelligence. 

Learn more: https://startupearthcenter.com/mahathi 

Key Responsibilities 

• Deliver comprehensive classroom and lab instruction aligned with the curriculum modules, including: 
         Data Science Fundamentals & Python for Climate Data 
         AI & Machine Learning Intro 
         GIS & Geospatial Analysis 
         Advanced ML, Generative AI & LLMs 
         Data Visualization & Dashboards 
         Career Preparation activities                                                                                                                                                                                                                  
  
• Provide high-quality instruction and hands-on mentorship to a cohort of 50+ students from low-income, Tier 2 backgrounds 
  

• Support students’ technical understanding and problem-solving during labs 
  

• Track and evaluate student progress; provide constructive feedback 
  

• Collaborate with program leadership to continuously improve training content and delivery 
  

• Assist with preparing students for internships and capstone projects  
  

Qualifications 

Education: 

• Minimum: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. 
  

• Relevant certifications in Python, AI/ML frameworks, or geospatial tools are a plus. 
  

Technical Expertise: 

• Strong proficiency in Python programming and key data science libraries (pandas, scikit-learn, matplotlib). 
  

• Experience with AI/ML frameworks such as TensorFlow, Keras, or PyTorch. 
  

• Familiarity with geospatial software (QGIS, Google Earth Engine) and satellite/environmental datasets. 
  

• Knowledge of data visualization tools like Tableau or similar. 
  

• Basic understanding of cloud platforms and version control (Git) is desirable. 
  

Experience: 

• At least 2 years of experience teaching or training in academic or professional settings, preferably in data science, AI, or climate tech. 
  

• Practical experience in applying AI or data analytics to environmental or climate-related problems is highly desirable. 
  

Soft Skills: 

• Excellent verbal and written communication skills, with ability to explain complex technical topics to diverse learners. 
  

•  Strong mentorship and student engagement skills. 
  

•  Passion for inclusive education and working with under-resourced student communities. 
  

•  Collaborative mindset and adaptability to interdisciplinary teamwork.