Key Responsibilities

- Curriculum Development: Design course materials, syllabi, and hands-on projects covering machine learning, deep learning, or data science.
- Instruction: Deliver lectures, lead workshops, and guide coding exercises or practical applications.
- Assessment: Evaluate student assignments, code, and project progress while offering constructive feedback.
- Mentorship: Support student growth and foster critical thinking regarding the societal and ethical impacts of AI.
- Trend Tracking: Update course content continuously to reflect rapid-moving changes in technology and industry standards.

Requirements and Skills

- Technical Knowledge: Proficiency in AI fundamentals, machine learning frameworks, and programming languages like Python, or Java.
- Education: Degree in Computer Science, Machine Learning, AI, or a related technical field.
- Communication: Ability to break down complex technical topics for diverse learners, from beginners to advanced specialists.
- Ethical Awareness: Understanding of data privacy, algorithmic bias, and security implications in AI

Work Location: In person

📌 Computer AI Teacher (India)
🏢 Boston world School
📍 India