Internal Knowledge Base Design Associate at Tongston Entrepreneurship Group

Company: Tongston Entrepreneurship Group

Location: Abuja, Nigeria

Job Type: Full-Time

Job Category: Administrative/Secretarial Jobs in Nigeria

Tongston is a multi-award-winning brand providing entrepreneurial education, media, enterprise & finance services for sustainable socio-economic development. T-World is Tongston’s AI powered digital entrepreneurial thinking ecosystem providing integrated media, enterprise, finance and entrepreneurial education services to K-12 Students, HE Students, Entrepreneurs, Intrapreneurs and their institutions globally to become Valuable, Influential & Profitable.

We are recruiting to fill the position below:

Job Title: Internal Knowledge Base Design Associate

Location: Abuja

Employment Type: Contract

Overview

Tongston is recruiting an Internal Knowledge Base (KB) Design Associate Officer to support the Education Function in building and maintaining Tongston’s internal education knowledge base for T-World and the wider Tongston ecosystem. The role supports the development of Tongston-owned curriculum, teaching materials, assessment frameworks, VIP Metrics logic, AI prompt libraries, AI instructions, defined terms, school/subject structures, functional industry maps, role/function maps, course pathways, modules, rubrics, and other internal education knowledge resources. This role sits within the Education workstream and works closely with the Education Lead and other teams.

Role Purpose

The purpose of this role is to help translate Tongston’s Entrepreneurial Thinking Education Model into structured, clear, reviewable, and AI-ready internal knowledge. The role helps answer questions such as: What should different users learn? How should learning be structured into courses, modules, lessons, activities, and pathways? How should users be assessed? How should assessment link to VIP Metrics? What prompts and instructions should guide T-World AI? How should subjects, school levels, functions, roles, industries, and functional industries be mapped? What defined terms should T-World use consistently across education, product, AI, and user-facing experiences?

Responsibilities

Internal KB Structure, Mapping & Defined Terms: Support the creation and maintenance of Tongston’s internal education knowledge base structure. This includes: Organising internal education knowledge into clear categories, templates, trackers, and knowledge objects. Supporting the mapping of school levels, subjects, courses, modules, learning outcomes, competencies, roles, functions, industries, and functional industries. Helping create and maintain role/function/industry maps that connect learning to enterprise, career, entrepreneurship, and intrapreneurship outcomes. Supporting the development of internal taxonomies, tags, naming conventions, metadata, and controlled terms for education knowledge objects. Creating and updating defined terms and glossary entries for Tongston’s education model, VIP Metrics, AI logic, curriculum, assessment, courses, functions, industries, user types, and platform actions. Supporting benchmarking against relevant education, curriculum, assessment, skills, enterprise, and global frameworks to strengthen Tongston’s internal model.

Curriculum & Teaching Design: Support the design, drafting, refinement, and organisation of Tongston-owned curriculum and teaching materials. This includes: Supporting curriculum design across K–12, higher education, professionals, entrepreneurs, intrapreneurs, institutions, and other user groups. Drafting and organising course outlines, module structures, lesson plans, activity templates, teaching guides, facilitator notes, learner guides, and learning pathways. Helping bundle courses into modules, programmes, learning journeys, or user pathways. Mapping curriculum and teaching content to T-World user types, widgets, goals, platform actions, and learning outcomes. Creating education content that can support T-World’s Education & Learning widget, including course creation, learning materials, course recommendations, teaching support, certification, and learning analytics. Developing prompt libraries and draft AI instructions that help T-World AI guide users through learning, course selection, lesson engagement, study planning, and learning support. Supporting internal and external knowledge sessions on Tongston’s education standards, model, tools, and learning approach.

Assessment, VIP Metrics & AI Logic: Support the design and documentation of assessment structures, scoring logic, VIP Metrics logic, and AI guidance. This includes: Creating and organising assessment banks, project-based tasks, quizzes, essay prompts, practical activities, rubrics, marking guides, examiner notes, and feedback templates. Supporting assessment designs that test whether learning has been understood and applied. Mapping assessments to Tongston’s VIP Metrics: Value, Influence, and Profitability. Supporting the design of scoring thresholds, recognition criteria, badges, rewards, TOINS-related logic, leaderboard logic, and progression logic where applicable. Helping document how user learning, assessment performance, project completion, platform activity, and enterprise actions may contribute to VIP outcomes. Drafting AI prompts and instructions for assessment guidance, feedback generation, course recommendations, learning support, rubric use, and VIP-related explanations. Reviewing assessment and VIP logic for clarity, fairness, consistency, completeness, and alignment with Tongston’s approved standards.

Internal KB Development, Quality Checks & Maintenance: Support the conversion of internal education materials into structured, traceable, AI-ready knowledge objects. This includes: Drafting, editing, formatting, tagging, and organising internal KB entries using approved templates. Breaking larger education documents into usable knowledge objects for indexing, retrieval, testing, and AI use. Maintaining internal KB trackers, folders, indexes, version histories, and supporting documentation. Checking internal KB materials for completeness, consistency, formatting, defined-term alignment, metadata quality, version control, curriculum alignment, assessment logic, and AI-readiness. Flagging unclear, outdated, duplicated, inconsistent, or incomplete internal KB materials. Escalating issues that require Education Lead, AI Governance, LRGC, Technology/Product, or other specialist review. Updating internal KB materials based on feedback, product changes, AI testing, user insights, curriculum updates, or revised Tongston standards. Supporting periodic clean-up, replacement, or deprecation of outdated internal KB materials. Fulfil additional tasks as required that are incidental to the above.

Knowledge, Skills & Attitude Requirements

Expertise: This role is designed for a trained education professional who can help Tongston structure, document, and maintain internal knowledge in a clear, usable, and AI-ready way. Candidates are not expected to be deep specialists across curriculum design, teaching practice, assessment design, AI prompt development, and knowledge-base structuring all at once. However, candidates should have a strong education foundation and meaningful experience or demonstrated strength in at least one of the following areas: curriculum design or instructional design; teaching, facilitation, or lesson/material development; assessment design, rubrics, marking guides, or education quality assurance; education content development, learning pathways, or structured knowledge documentation. Depending on the candidate’s strongest area of expertise, the role may initially focus more heavily on particular parts of the internal knowledge base, such as curriculum structures, teaching resources, assessment logic, rubrics, learning pathways, defined terms, or AI-ready education guidance. The successful candidate must be willing and able to learn across the other areas over time, work with specialists where needed, and translate education knowledge into structured internal resources that support T-World and the wider Tongston ecosystem.

Knowledge: Bachelor’s degree or equivalent experience in Education, Curriculum Studies, Educational Technology, Social Sciences, Business, Psychology, Development Studies, Philosophy, Social Work, or a related field. Where the degree is not in Education, a Postgraduate Diploma in Education, Post Graduate Certificate in Education, TRCN qualification, or equivalent education certification is strongly preferred. 3–5 years’ experience in teaching, curriculum development, assessment, education administration, instructional design, education content development, or related work. Knowledge of curriculum structures, learning outcomes, lesson planning, teaching activities, assessment design, rubrics, marking guides, and education quality standards is required. Awareness of project-based learning, entrepreneurship education, employability skills, professional learning, and enterprise-linked education is useful but not required. Basic understanding of how knowledge bases support AI-enabled learning, search, recommendations, assessment, and user guidance is useful but not required. Awareness of AI prompts, AI instructions, AI-assisted learning, and responsible AI use in education is useful but not required. Awareness of assessment integrity, fairness, confidentiality, plagiarism, source-use boundaries, anti-cheating principles, and unbiased marking is useful but not required. Understanding of Tongston’s education, enterprise, media, finance pillars; T-World and entrepreneurial thinking model is an advantage. We encourage you to take some time to go through our website and third party platforms for more information.

Technical Skills: Required: Strong writing, editing, formatting, and structuring skills. Ability to draft curriculum documents, course outlines, lesson plans, learning activities, assessment items, rubrics, and teaching materials. Ability to organise information into clear templates, tables, trackers, maps, and knowledge objects. Ability to create slides, summaries, simple diagrams, and structured documentation. Ability to use AI tools responsibly for curriculum drafting, lesson planning, assessment design, prompt drafting, and quality checks. Strong spreadsheet skills in Excel or Google Sheets. Ability to use Google Workspace or Microsoft Office tools effectively. Useful but not required: Ability to map subjects, school levels, courses, roles, functions, industries, competencies and assessments. Strong file management, naming, version control, and tracker-maintenance discipline. Ability to draft AI prompts, instructions, examples, and guidance notes for education use cases.

Attitude: Professional and respectful when working with educators, students, partners, school administrators and other key stakeholders. Strong analytical, problem-solving, organizational and communication skills. Ability to prioritize, and execute projects / tasks to a deadline with attention to detail. You must align with and be determined to have a fit with Tongston’s culture.

Application Closing Date: 31st August, 2026.

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