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.