The Senior Curriculum Designer will lead the design, development, implementation, and continuous improvement of Code Mantra's Coding, AI, Machine Learning, Robotics, and Emerging Technology programs for K–12 students.
This role requires expertise in both technology and education, with the ability to translate complex technical concepts into age-appropriate, engaging, project-based learning experiences.
The ideal candidate will create complete learning pathways from beginner to advanced levels while ensuring students develop computational thinking, creativity, engineering skills, AI literacy, and problem-solving abilities.
Key Responsibilities
Curriculum Architecture
Design complete K–12 curriculum pathways for:
Coding
- Scratch Jr.
- Scratch
- Blockly
- Python
- JavaScript
- HTML/CSS
- Web Development
- App Development
- Game Development
- Data Structures
- Algorithms
- Software Engineering Fundamentals
Artificial Intelligence
- AI Fundamentals
- Responsible AI
- Prompt Engineering
- Generative AI
- Large Language Models
- Computer Vision
- Natural Language Processing
- AI Applications
- AI Ethics & Safety
Machine Learning
- Data Collection
- Data Cleaning
- Data Visualization
- Supervised Learning
- Unsupervised Learning
- Neural Networks
- Deep Learning Fundamentals
- Predictive Modeling
- AI Project Development
Robotics
- Robotics Fundamentals
- Engineering Design Process
- Sensors and Actuators
- Microcontrollers
- Arduino
- Raspberry Pi
- Internet of Things (IoT)
- Autonomous Systems
- Robotics Programming
Learning Experience Design
- Create engaging project-based lessons.
- Develop hands-on activities and challenges.
- Design real-world technology projects.
- Build capstone projects for every level.
- Create innovation challenges and hackathons.
- Design interdisciplinary STEM learning experiences.
Lesson Development
Develop:
- Lesson Plans
- Teacher Guides
- Student Workbooks
- Coding Exercises
- Robotics Activities
- AI Experiments
- Assessments
- Quizzes
- Project Rubrics
- Parent Progress Reports
AI Curriculum Leadership
- Design age-appropriate AI education programs.
- Create AI literacy frameworks for K–12 students.
- Develop ethical AI modules.
- Build responsible technology usage guidelines.
- Integrate AI tools into learning experiences.
- Continuously update curriculum based on AI advancements.
Robotics Program Development
- Design robotics learning pathways.
- Create robotics challenges and competitions.
- Develop hardware integration activities.
- Build engineering-focused project frameworks.
- Design robotics assessment systems.
Assessment & Evaluation
Create:
- Diagnostic Assessments
- Formative Assessments
- Summative Assessments
- Project-Based Evaluations
- Skill Mastery Frameworks
- Competency Tracking Systems
Standards & Quality Assurance
- Align curriculum with international STEM standards.
- Maintain curriculum consistency across grade levels.
- Ensure technical accuracy of all content.
- Review curriculum effectiveness using student performance data.
- Continuously improving curriculum quality.
Innovation & Research
- Stay current with emerging technologies.
- Research AI, robotics, and coding education trends.
- Evaluate new educational technologies.
- Recommend future curriculum improvements.
- Build future-ready learning pathways.
Teacher Training & Support
- Train instructors on curriculum delivery.
- Conduct teacher workshops.
- Create instructional best practices.
- Develop classroom management strategies for technical subjects.
- Provide ongoing academic support to teaching staff.
