Physics Specialist

About Meraki Labs

Meraki Labs is at the forefront of Indias deep-tech innovation landscape operating as a dynamic venture studio founded by visionary entrepreneur Mukesh Bansal (Founder - Myntra Cure Fit) and Peeyush Ranjan (Former Google VP and Flipkart CTO). Our mission is to build and rapidly scale AI-first moonshot startupstransforming groundbreaking ideas into next-generation industry leaders. Through a hands-on intensive partnership model we work closely with exceptional founders driving these ventures from concept to impact.

Role Overview

We are seeking a seasoned Professor/Academician to serve as the Principal Subject Matter (Physics and Mathematics) for our AI Tutor. Your mission is to ensure that the AI Tutor doesnt just provide answers but facilitates true learning. You will act as the ultimate Sensei for our AI models evaluating the tutors reasoning the rigor of our Learning Management System (LMS) content and the pedagogical effectiveness of our step-by-step guidance.

Key Roles & Responsibilities

1. AI Tutor Audit

• Logic Validation: Review AI-generated hints to ensure they align with teaching methods and guiding students to the answer without spoiling the breakthrough moment.

• Accuracy Oversight: Conduct deep-dive audits into complex topics (Quantum Physics/Math) to identify hallucinations or mathematically sound but pedagogically confusing steps.

• Tone & Empathy Monitoring: Evaluate the AIs non-judgmental persona. Ensure the feedback encourages a growth mindset and manages a students productive struggle effectively.

2. Curriculum & LMS Strategy

• Content Mapping: Oversee the mapping of our Curriculum to ensure the difficulty progression is academically sound.

• LMS Integrity: Review the structure of lessons within the LMS to ensure logical flow concept scaffolding and comprehensive coverage of learning objectives.

• Knowledge Graph Refinement: Work with the engineering team to refine the Concept Graph ensuring the AI understands which foundational concepts a student is missing based on their mistakes.

3. Product Intervention & Feedback Loops

• SME Input for Engineering: Translate complex teaching methodologies into actionable insights for AI prompt engineers. (e.g. In this Calculus problem the AI should prompt for the Chain Rule here instead of simplifying the constant.)

• Gap Analysis: Identify areas where the AI fails to understand non-standard student approaches or creative problem-solving techniques.

• Efficacy Research: Help design and monitor learning gain metrics and measure if students are actually learning

Ideal Candidate Profile

• Academic Background: PhD Assistant Professor or Senior Professorship in Physics Engineering or Mathematics with 5 years of teaching experience.

• Tech-Forward: While you dont need to code you must be comfortable using AI tools and have an intuitive grasp of how LLMs interact with technical content.

The Recruiter for this role is Ritesh Kalvellu - You can connect with him for queries about the role.

Required Experience:

IC