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

Requirements

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.

- Cooperative mindset and adaptability to interdisciplinary teamwork.

📌 Course Trainer Data Science & AI (Climate Tech Skilling) (Visakhapatnam)
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📍 Visakhapatnam