Faculty/Senior Faculty - Academics - Education

Faculty/ Sr. Faculty

A candidate must have:

- Academic qualification such as B.Tech/ M.Tech/ MBBS/ M.Sc/ M.A (preferably from to institutes/universities like IITs, NITs)

- 3+ years teaching experience in School/ Coaching Industry for relevant exam

- Good analytical and communication skills; Must be proficient in English

- In-depth knowledge and command over the subject

We prefer candidates that have:

- Command over Microsoft Excel/ Google Sheets

- B.Ed/ M. Ed/ NET as applicable

- Prior experience in the Edtech industry

- Acquaintance with the NCF/ Curriculum development

Objective:

To work closely with Data Scientists in the Knowledge Graph team to uncover insights, vdeploy and build practical solutions on the massive user and product data by creating a comprehensive knowledge graph and its supporting infrastructure

- To take ownership of processes within the content development pipeline

- To assist in building a web of interlinked concepts covering the entire curriculum of various disciplines like Mathematics, Life and Social Sciences, Languages etc

- To architect an effective pedagogy to teach, assess and guide a learner

- To assist in building world-class content for various K12 curricula, university entrance examinations and recruitment tests

- To provide consistent support to client-facing and research departments as and when required

Duties and responsibilities:

Your responsibilities will include, but will not be restricted to, the following list of tasks:

- Analysis of a given curriculum/ exam syllabus to divide it into granular topics in order to draw a well structured learning map; to map that curriculum with organisations Knowledge Graph

- Creation and review of relationships within a set of concepts and topics based on given product requirements

- Creation and review of learning objectives and descriptions for various knowledge units to effectively summarize their academic content

- Creation of Learning Outcomes framework for various curricula to effectively create the most personalised learning experience

- Creation and review of questions with detailed solutions and hints; Assigning and reviewing the skill levels, difficulty levels, Learning Maps and any other type of metadata to various types of questions

- Creation and review of data sets comprising the concepts, questions and other relevant data for Data Science algorithms

- Creating lesson plans and assisting in curriculum development through the application of various instructional strategies