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07/11 Benoy
Head - Talent Acquisition at Work Eagle

Views:408 Applications:42 Rec. Actions:Recruiter Actions:12

Faculty/Senior Faculty - Academics - Education (3-15 yrs)

Bangalore Job Code: 1176992

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

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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