Remote Job at Tongston Entrepreneurship Group – 4 Positions

Applications are invited from interested and qualified candidates to apply for the Remote Job at Tongston Entrepreneurship Group.

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.

Individuals interested in the Job at Tongston Entrepreneurship Group should review the details, requirements, and application process provided below.

Product Designer (UI/UX)

Specifications:

• Full Time | Remote
• Location: Nigeria. See other Remote Jobs
• Salary Range: NGN120,000 | Learning & Development budget | Productivity Support Package
• Category: Tech
• Job Alerts: To receive Job Alerts on WhatsApp, Click HERE

Description:

• Support the design, improvement, coordination and quality assurance of Tongston’s digital products, platforms and user experiences, including T-World, Tongston websites, client-facing websites managed by the company, and selected third-party software/tools configured for company or client use.
• The role combines UI/UX design, user research, product improvement, testing, documentation, stakeholder coordination and implementation follow-through, with the expectation that the role holder develops into a broader product management capacity over time.
• This is a 100% remote role full-time This is a full-time paid independent contractor engagement for 12 months.

Roles and Responsibilities

• Collaborate with cross-functional teams including Data, Research & Economics, Education, Strategy, Media/Info, Operations and Technology to translate user, business and operational needs into effective digital product and experience improvements.
• Conduct and support user research, usability testing and feedback analysis using surveys, interviews, analytics and other tools to inform product, design and feature decisions.
• Design and refine user journeys, user flows, wireframes, prototypes, site maps, mock-ups and related product/design documentation for web, mobile and other digital platforms.
• Support the design, review and improvement of Tongston’s digital ecosystem, including T-World, company websites, internal tools, client-managed websites and selected third-party platforms configured for business or client use.
• Monitor and analyze feedback, usage data, performance metrics and quality indicators to identify gaps, friction points and opportunities for continuous improvement.
• Conduct routine testing, QA and user acceptance reviews across websites, apps and configured software platforms to ensure usability, accessibility, responsiveness, consistency and overall quality.
• Maintain consistency across products through design standards, reusable patterns, style guides and structured documentation of product and design decisions.
• Contribute to product strategy, roadmap refinement, benchmarking and release planning through research-backed recommendations and practical implementation insight.
• Support user adoption and product continuity through guides, walkthroughs, handover notes and other supporting materials as required.

Qualifications and Requirements:

Technical Experience:

• Relevant qualification in Product Management, Computer Science, Business Administration, or a related field.
• 1 – 2 years of relevant experience in UI/UX, product design or digital product support (wireframes, website mapping, storyboards, user process flows, etc.) across web and mobile platforms (especially mobile).
• Exposure to no-code/low-code tools, CMS platforms or third-party software configuration.
• Experience with participating in the deployment of web and mobile applications; and interacting with users/tracking user feedback is useful.
• Experience working across cross-functional teams and collaborating with developers, designers, data analysts & Scientists, media, education and other such personnel; and supporting testing, feedback collection or post-launch improvements is useful.

Technical Knowledge:

• Good knowledge of UI/UX best practices and user-centered design principles.
• Good understanding of SEO principles and ensuring that UI/UX designs will adhere to them.
• Good understanding of usability, accessibility, consistency and quality assurance across digital products and platforms and product thinking, including user needs, problem definition, feature refinement and continuous improvement.
• Basic knowledge of image authoring tools, to be able to crop, resize, refine, or perform adjustments on an image.
• Familiarity with data management, analytics, and performance tracking tools is useful.
• Understanding of app development processes, API and third-party integrations; and developer handoff requirements is useful.

Technical Skills:

• Excellent visual design skills & principles and proficiency in Figma.
• Strong writing or copy structuring ability for digital interfaces, prompts, labels, guidance text and user-facing content.
• Proficiency in using Git version control.
• Ability to work closely with developers and relevant technical teams to ensure timely implementation of agreed requirements, issue resolution and alignment between business needs, user experience and technical delivery.
• Ability to apply product thinking to help define user needs, problem statements, use cases, feature requirements, priorities and phased improvement opportunities.
• Proficiency in HTML, CSS (SCSS) and Adobe Creative Suite is useful.
• Familiarity with tools such as Gimp or Photoshop is useful.

Soft Skills & Attitude:

• Strong problem-solving and analytical skills
• Good communication and collaboration abilities
• Ability to manage tasks and meet deadlines in a remote environment
• High attention to detail and design quality.
• Curious, proactive, and committed to continuous learning
• Comfortable working in a fast-paced, cross-functional team
• Strong alignment with Tongston’s mission, values, and culture.

Benefits

• Monthly professional fee of NGN120,000.
• A monthly Remote Productivity Support Package.
• A company-provided laptop and access to Tongston-funded platforms, software, licensed tools and other approved resources required to perform your role effectively.
• Pathway to full-time employment opportunity to secure additional benefits, including pension, HMO, statutory employee leave categories, promotion-based entitlements, and staff welfare benefits.
• Exposure to user research, product strategy, user journeys, wireframing, prototyping, usability testing, analytics-informed design improvement, and cross-functional product delivery across web, mobile and other digital platforms.
• Team-based execution and support, including an overall project management structure, reporting to a line manager, and collaboration within a sprint-based team workflow with defined weekly deliverables.
• A structured learning and growth pathway supported through twice-yearly performance review, development and growth conversations (January & July). If you join after a review cycle, your first review will take place in the next review window. The review helps you document and communicate how you’ve grown, developed and demonstrated being Valuable, Influential & Profitable.
• Learning & Development budget: NGN200,000 to support continuous upskilling, role-specific learning and broader professional development.
• Up to 10 working days of approved paid time away from active delivery annually.
• Eligible for the Tongston Annual Personnel High Performance Award which comes with cash prizes and certificates you can include in your profile for future jobs.
• Professional Visibility: listed on Tongston’s website.
• Complimentary premium access to T-World, Tongston’s integrated digital platform.
• Eligibility for discretionary performance-based bonus/allocation.

Participation in Tongston Academy sessions (scheduled periodically):

• Personal branding (includes CV/LinkedIn review).
• Personal finance & investing.
• Sales, communication & networking.
• Business development & strategy.
• Project management, Cybersecurity awareness & Digital automation tools.

Full Stack Engineer (Back-End Focus — Node.js, MongoDB, AI Enablement, Web3 Exposure + Front-End Supportive – React (Web)

Specifications:

• Full Time | Remote
• Location: Nigeria. See other Remote Jobs
• Salary Range: NGN200,000 | Learning & Development budget | Productivity Support Package
• Category: Tech
• Job Alerts: To receive Job Alerts on WhatsApp, Click HERE

Description:

• Tongston is seeking a Full Stack Engineer (Back-End Focus) to help build and scale T-World, an AI-powered platform spanning education, enterprise, media, and finance.
• This role is ideal for a backend-leaning engineer who can own APIs, data models, integrations, reliability, and AI workflows—while remaining comfortable delivering lightweight React web UI when needed to support product flows and internal tools. You will Participate in Agile ceremonies: planning, execution, review, and iteration.

Core Stack
Back-End (Primary Focus):

• Node.js with Express (API services / serverless routes where applicable)
• MongoDB (Atlas & Compass)

Front-End (Supportive):

• React (Web)
• Vite
• Tailwind CSS
• State & data: TanStack Query, Zustand

Platform & Infrastructure:

• Authentication: Firebase (synced with MongoDB)
• Storage:
  • Cloudinary (short-term media handling)
  • AWS S3 (long-term storage with immediate migration )
• CI/CD: GitHub Actions
• Security: CodeQL, Dependabot, basic OWASP-aligned practices

AI Tooling:

• LangChain (or similar orchestration frameworks)
• API-based LLM workflows

Web3 (Exposure-Level):

• Wallets, signing flows, token interactions-conversion
• On-chain vs off-chain boundaries
• (Deep smart contract development is not required)

Roles and Responsibilities
Back-End & Architecture (Primary):

• Build and maintain server-side services and APIs using Node.js and Express
• Design, implement, and optimize MongoDB schemas, indexes, and query patterns
• Own backend integrations including:
  • Authentication (Firebase)
  • Media storage (Cloudinary, AWS S3)
  • Environment configuration and secrets management
  • Logging and monitoring
• Define modular service boundaries aligned with T-World’s product structure (widgets, modules, sub-features)
• Ensure backend reliability, performance, and scalability

Front-End Support (Secondary):

• Ship or support React components required to validate backend APIs, AI flows, or admin/internal tooling
• Collaborate with frontend engineers to ensure clean API contracts and smooth UI ↔ backend interactions
• Maintain code quality via pull requests, documentation, and shared standards

AI Enablement:

• Integrate AI workflows across modules (UI → API → AI → DB)
• Support AI-powered experiences such as:
  • Assistants
  • Search
  • Content generation
• Ensure safe and reliable AI integrations, including:
  • Error handling and fallbacks
  • Latency and timeout management
  • Rate limiting and caching
  • Prompt and version management
  • Traceable outputs for debugging and evaluation

Delivery, Security & Operations:

• Support CI/CD pipelines using GitHub Actions
• Follow secure practices for:
  • Secrets and key management
  • Access control and offboarding hygiene
• Contribute to deployment, monitoring, and operational stability

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Qualifications and Requirements:

Technical Knowledge & Skills:

• Strong experience with Node.js and backend design patterns
• Strong experience with MongoDB (schema design, indexing, aggregation, performance tuning)
• Solid working knowledge of Express.js
• Comfort working with React for integration-level UI tasks
• Familiarity with REST APIs, server-side architecture, and environment configuration

Soft Skills & Attitude:

• Strong analytical and problem-solving skills
• Clear communication and collaboration across teams
• Ability to prioritize, execute, and deliver with attention to detail
• Ownership mindset and comfort working in a fast-paced environment
• Strong alignment with Tongston’s mission, values, and culture. Learn more about Tongston’s culture

Nice-to-Have Knowledge & Skills:

• Exposure to AI integrations (LangChain or similar)
• Familiarity with Web3 integration workflows (wallets, signing, token flows)
• Experience with background jobs, queues, or serverless patterns
• Exposure to cloud infrastructure (AWS)

Benefits

• Monthly professional fee of NGN200,000.
• A monthly Remote Productivity Support Package.
• A company-provided laptop and access to Tongston-funded platforms, software, licensed tools and other approved resources required to perform your role effectively.
• Pathway to full-time employment opportunity to secure additional benefits, including pension, HMO, statutory employee leave categories, promotion-based entitlements, and staff welfare benefits.
• Exposure to user research, product strategy, user journeys, wireframing, prototyping, usability testing, analytics-informed design improvement, and cross-functional product delivery across web, mobile and other digital platforms.
• Team-based execution and support, including an overall project management structure, reporting to a line manager, and collaboration within a sprint-based team workflow with defined weekly deliverables.
• A structured learning and growth pathway supported through twice-yearly performance review, development and growth conversations (January & July). If you join after a review cycle, your first review will take place in the next review window. The review helps you document and communicate how you’ve grown, developed and demonstrated being Valuable, Influential & Profitable.
• Learning & Development budget: NGN200,000 to support continuous upskilling, role-specific learning and broader professional development.
• Up to 10 working days of approved paid time away from active delivery annually.
• Eligible for the Tongston Annual Personnel High Performance Award which comes with cash prizes and certificates you can include in your profile for future jobs.
• Professional Visibility: listed on Tongston’s website.
• Complimentary premium access to T-World, Tongston’s integrated digital platform.
• Eligibility for discretionary performance-based bonus/allocation.

Participation in Tongston Academy sessions (scheduled periodically):

• Personal branding (includes CV/LinkedIn review).
• Personal finance & investing.
• Sales, communication & networking.
• Business development & strategy.
• Project management, Cybersecurity awareness & Digital automation tools.

Knowledge Base (KB) Licensor & Developer

Specifications:

• Full Time | Remote
• Location: Nigeria. See other Remote Jobs
• Salary Range: NGN150,000 | Learning & Development budget | Productivity Support Package
• Category: Tech
• Job Alerts: To receive Job Alerts on WhatsApp, Click HERE

Description:

• Tongston is looking for a Knowledge Base Licensor & Developer to support the Education workstream for T-World and the wider Tongston ecosystem.
• The role combines external-source licensing and permissions review with practical knowledge-base development: identifying relevant external sources, classifying their use status, sourcing approved knowledge materials, and converting cleared content into structured, tagged, traceable, AI-ready KB objects.
• This role sits under the Education workstream because the knowledge base is part of T-World’s learning, curriculum, teaching, assessment, recommendation and VIP development foundation.
• This role is for someone who can operate with ownership, good judgement, documentation discipline and weekly delivery accountability in a fast-moving AI-enabled product environment.

Role Purpose

• The purpose of this role is to own the first-line external knowledge-base pipeline: from source identification and licensing classification to KB object development, indexing, handoff and maintenance.

The role helps Tongston answer

• Which external sources are relevant to T-World’s education, enterprise, media, finance, user journey, functional industry, role, assessment, VIP Metrics and AI-use needs?
• What are the licensing, copyright, permissions, attribution, restriction, commercial-use or platform-use conditions attached to each source or content item?
• Which materials are green, yellow, orange, red, restricted, blocked, permission-pending or ready for development?
• How should cleared external materials be structured, tagged, stored, indexed and maintained as usable KB objects?
• What needs to be handed off to other team members.

Roles & Responsibilities
THINK (Source Strategy, Licensing Logic & KB Development Planning):

• Translate Education Lead priorities into clear external-source plans, source lists, licensing-review priorities and KB development deliverables.
• Identify relevant source environments and content items, including websites, repositories, journals, books, courses, reports, policy documents, articles, chapters, datasets, attachments and other knowledge materials.
• Review licensing terms, copyright notices, IP notices, platform terms, permissions language, attribution requirements, commercial-use restrictions, modification/reuse rights, download restrictions, expiry conditions and object-level use terms.
• Classify sources and content items using Tongston’s approved traffic-light or permissions framework, including green, yellow, orange, red, restricted, unclear, mixed, permission-pending and blocked statuses. Distinguish between platform-level clearance and object-level clearance, especially where a website or database is broadly usable but a particular document, chapter, course or attachment has different conditions.
• Plan how approved or cleared materials should be converted into KB objects, including object type, scope, tags, metadata, source references, owner, review status and downstream AI use case.
• Flag legal, licensing, IP, confidentiality, source-quality, bias, sensitivity, currency or use-boundary risks early instead of making unsupported assumptions.

CREATE (Clear Sources, Build KB Objects & Maintain Registers):

• Populate and maintain the Licensing and Permissions Register with source name, URL, source type, content item, date accessed, licence/permission status, classification, restrictions, attribution requirements, evidence, rationale, owner and next action.
• Maintain evidence trails such as source links, screenshots, saved files, terms notes, permission notes, licence evidence, download records and use-boundary summaries.
• Source actual external KB materials only from approved, green, cleared or conditionally cleared sources, in line with the documented use restrictions.
• Extract, summarise, structure, tag and format cleared materials into KB-ready objects using approved templates, metadata fields, naming conventions, folder structures and version-control rules.
• Populate the Master KB Index and related KB trackers with object IDs, object titles, object types, short descriptions, source IDs, licence status, tags, related user types, widgets, industries, functions, roles, courses, assessments, VIP Metrics or AI use cases where applicable.
• Preserve source-use conditions downstream so that AI Governance, AI Engineering, Technology, KB Reviewers and Product teams know what the KB may or may not be used for.
• Prepare permission-request packs where required, including source summary, intended use, restriction notes and owner/contact information, while escalating permission-dependent cases to the approved AI Governance / LPRGC / Finance workflow.
• For any external KB source classified as Yellow, the IC will manage the permissions follow-up process. This includes identifying the IP owner or rights holder, preparing and sending permission-request emails, tracking responses, documenting approvals or restrictions, and updating the Licensing and Permissions Register. Work with LPRGC on copyright, IP, licence, contract, or legal-document issues, and with Finance where licence fees, subscriptions, royalties, paid access, or other payments are required. Yellow-classified content must not move into KB development until the relevant permission, clearance, payment, contract, or approval has been obtained and properly documented.
• Revise KB objects based on feedback from team members.

SELL (Handoff, Maintenance, Escalation & Improvement):

• Produce clear weekly or deliverable-based updates showing sources reviewed, sources approved/restricted, KB objects created, blockers, escalations, risks and next actions.
• Provide clean handoff notes to KB Review and AI Output Testing, showing source status, licensing limits, object purpose, metadata, assumptions, gaps and required review steps.
• Escalate yellow, orange, unclear, sensitive or legally uncertain materials to the correct owner rather than progressing them informally.
• Maintain approved-source lists, restricted-source lists, permission-pending trackers, blocked-source notes, KB gap logs, source-quality notes and deprecation/update logs.
• Support periodic review of sources and KB objects to check whether terms, links, permissions, content relevance or source quality have changed.
• Recommend improvements to the Licensing and Permissions Register, Master KB Index, KB templates, metadata rules, traffic-light guidance, handoff notes and development workflow based on delivery experience.
• Keep all files, evidence, source materials, registers, indexes and outputs well named, versioned, permissioned and easy to retrieve for future team use.
• Fulfil additional tasks as required that are incidental to the above.

Expected Outputs

• Licensing and Permissions Register updates.
• Source classification records and traffic-light status logs.
• Permission-request packs and permission follow-up trackers where assigned.
• Structured external KB objects.
• Master KB Index entries and KB tracker updates.
• Gap logs, issue logs, deprecation/update notes and handoff notes for KB Review / AI Output Testing.
• Weekly delivery summaries and escalation notes.

Qualifications and Requirements:

Knowledge:

• Bachelor’s Degree, Diploma, HND/ND, postgraduate certificate or equivalent practical experience in Law, Library/Information Science, Education, Research, Social Sciences, Business, Publishing, Information Management, Knowledge Management, Data/Analytics, Technology Policy or related fields is preferred.
• Candidates do not require a legal background, however must understand and appreciate that licensing, permissions and source-use decisions require careful evidence, escalation discipline and respect for boundaries.
• Working awareness of reviewing and synthesizing copyright, licensing, attribution, Creative Commons-style permissions, public-domain indicators, open-access materials, website terms, content-use restrictions and permission-request workflows is useful but not required.
• Understanding of how approved, traceable and well-structured knowledge inputs support AI-enabled search, recommendations, curriculum, assessment, retrieval, user guidance and product workflows is useful but not required.
• Awareness of source quality, source credibility, confidentiality, plagiarism/copyright plausibility, restricted materials, sensitive information and escalation triggers 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.

Experience Level:

• Ideal for an early-career professional (with 12-24 months) of relevant experience in research, legal, IP management, paralegal, library or information science, knowledge management, publishing, education content curation, compliance, content operations, documentation work, or AI-enabled knowledge-base gathering & documentation acquired through internship, volunteering, consulting, project, research, legal-support, content curation, publishing or compliance experience.

Technical Skills:

• Strong web research, source evaluation and licensing/permissions review skills.
• Strong spreadsheet and register-management skills in Excel or Google Sheets, including clean data entry, filters, status tracking, metadata fields, links, source IDs and issue logs.
• Ability to extract, summarise, structure, tag and organise information into clear KB objects, templates, trackers, tables and handoff notes.
• Strong writing and synthesis skills, especially the ability to distinguish fact, assumption, restriction, risk, recommendation and open question.
• Good file management, folder discipline, naming conventions, version-control habits and evidence-trail management.
• Ability to use Google Workspace / Microsoft Office tools effectively.
• Ability to use approved AI tools responsibly for summarisation, structuring, comparison, drafting and quality-checking while preserving source verification, human judgement and confidentiality.

Soft Skills & Attitude:

• Strong analytical, problem-solving and source-judgement skills.
• High attention to detail and strong ownership mindset.
• Clear written communication and concise escalation notes.
• Ability to prioritise, execute and deliver with speed, accuracy and attention to detail in a remote environment.
• Comfortable challenging weak sources, unclear permissions, incomplete metadata and unsupported assumptions respectfully.
• Curious, proactive, discreet and committed to continuous learning.
• Comfortable working in a fast-paced, cross-functional team with weekly deliverables.
• Strong alignment with Tongston’s mission, values and culture. 

Benefits

• Monthly professional fee of NGN150,000.
• A monthly Remote Productivity Support Package.
• A company-provided laptop and access to Tongston-funded platforms, software, licensed tools and other approved resources required to perform your role effectively.
• Pathway to full-time employment opportunity to secure additional benefits, including pension, HMO, statutory employee leave categories, promotion-based entitlements, and staff welfare benefits.
• Exposure to user research, product strategy, user journeys, wireframing, prototyping, usability testing, analytics-informed design improvement, and cross-functional product delivery across web, mobile and other digital platforms.
• Team-based execution and support, including an overall project management structure, reporting to a line manager, and collaboration within a sprint-based team workflow with defined weekly deliverables.
• A structured learning and growth pathway supported through twice-yearly performance review, development and growth conversations (January & July). If you join after a review cycle, your first review will take place in the next review window. The review helps you document and communicate how you’ve grown, developed and demonstrated being Valuable, Influential & Profitable.
• Learning & Development budget: NGN200,000 to support continuous upskilling, role-specific learning and broader professional development.
• Up to 10 working days of approved paid time away from active delivery annually.
• Eligible for the Tongston Annual Personnel High Performance Award which comes with cash prizes and certificates you can include in your profile for future jobs.
• Professional Visibility: listed on Tongston’s website.
• Complimentary premium access to T-World, Tongston’s integrated digital platform.
• Eligibility for discretionary performance-based bonus/allocation.

Participation in Tongston Academy sessions (scheduled periodically):

• Personal branding (includes CV/LinkedIn review).
• Personal finance & investing.
• Sales, communication & networking.
• Business development & strategy.
• Project management, Cybersecurity awareness & Digital automation tools.

Knowledge Base (KB) Reviewer & AI Output Tester

Specifications:

• Full Time | Remote
• Location: Nigeria. See other Remote Jobs
• Salary Range: NGN125,000 | Learning & Development budget | Productivity Support Package
• Category: Tech
• Job Alerts: To receive Job Alerts on WhatsApp, Click HERE

Description:

Overview

• Tongston is looking for a KB Reviewer & AI Output Tester to support the Education workstream for T-World and the wider Tongston ecosystem.
• The role combines independent knowledge-base review, moderation checks and AI output testing across user-uploaded knowledge base (KB), internally generated KB materials, and developed KB objects prepared for AI or product use.
• This role sits under the Education workstream because KB Review and AI Output Testing are part of T-World’s curriculum, teaching, assessment and VIP development foundation.
• The role works closely with the Education Lead, Internal KB Designer, KB Licensor & Developer, AI Governance, AI Engineering, Technology, Data, Media/Information, Administration & PM and Legal, Policy, Regulation, Governance & Compliance (LPRGC) where required.
• This role is for someone who can operate with ownership, careful judgement, strong documentation discipline and weekly delivery accountability in a fast-moving AI-enabled product environment.

Role Purpose

• The purpose of this role is to own the independent KB review and AI-output validation layer: reviewing whether KB materials are safe, appropriate, accurate, traceable and ready for use, and testing whether AI outputs remain grounded in the approved KB and aligned with expected user intent.

The role helps Tongston answer:

• Are user-uploaded KB items, attachments, URLs, text objects and other content suitable to enter or remain in the KB workflow?
• Are internally generated KB materials from the Internal KB Designer complete, consistent, appropriately moderated and ready for downstream use?
• Are externally developed KB objects from the KB Licensor & Developer properly documented, traceable and fit for review/testing?
• Does the AI retrieve from approved KB objects instead of guessing, hallucinating or producing unsupported claims?
• Where are moderation failures, retrieval failures, prompt/input misalignment, KB gaps, bias risks, unsuitable content or recurring output-quality issues appearing?
• What needs to be returned for revision, escalated to AI Governance / LPRGC, handed to AI Engineering / Technology, or fed back within Education?

Roles & Responsibilities
THINK (Review Logic, Moderation Planning & AI Test Design):

• Translate Education Lead / KB Lead priorities into clear review batches, moderation-check plans, AI test scenarios, expected-output notes and weekly deliverables.
• Define review scope for assigned user-uploaded KB content, internally generated KB materials, external KB objects, text objects, URL objects, attachment objects, prompt libraries, AI instructions, course/assessment materials and related workflow items.
• Apply approved KB review, acceptable-use, platform-integrity, legitimacy/authenticity, plagiarism/copyright-plausibility, curriculum-alignment, user-context and escalation criteria consistently.
• Plan AI output tests using approved prompts, dropdown-led inputs, free-text inputs, user journeys, feature flows, KB objects and expected outputs.
• Identify likely edge cases, including incomplete inputs, ambiguous queries, conflicting user intent, unsuitable uploads, missing KB context, weak metadata, wrong tags, outdated content and high-risk AI responses.
• Distinguish between content-quality issues, moderation issues, KB structure issues, source/permissions issues, AI-governance issues, prompt/input issues, retrieval issues, product-flow issues and technology implementation issues.
• Flag sensitive, unclear, borderline, restricted, biased, unsafe, misleading, unsupported, legally sensitive or policy-sensitive cases early instead of making unsupported assumptions.

CREATE (Review KB Materials, Run AI Tests & Maintain Logs):

• Review all assigned user-uploaded KB content and user-generated KB objects, including URLs, text, attachments, documents, links, media-related objects, profile/story-dashboard objects, learning submissions and other uploaded materials where assigned.
• Review internally generated KB materials created by the Internal KB Designer, including curriculum, teaching, assessment, VIP logic, defined terms, AI prompts, AI instructions, course pathways, rubrics and internal KB objects.
• Review developed KB objects from the KB Licensor & Developer for traceability, metadata completeness, source/status clarity, naming, tags, object relationships, handoff notes and readiness for AI/product use.
• Conduct moderation checks for acceptable use, platform integrity, legitimacy/authenticity, suspicious or misleading claims, inappropriate content, spam/manipulation indicators, unsupported assertions, bias/fairness concerns and escalation triggers.
• Check content for accuracy, relevance, clarity, completeness, curriculum alignment, pedagogical usefulness, user-context appropriateness, assessment/VIP logic alignment, defined-term consistency and AI-readiness.
• Record review decisions clearly as approved, approved with conditions, return for revision, escalate, block, restrict, monitor, deprecate, retest or not ready, using the approved tracker or workbook.
• Run structured AI output tests across approved prompts, input fields, dropdown selections, free-text queries, KB retrieval scenarios and assigned T-World feature flows.
• Assess AI outputs for accuracy, relevance, completeness, clarity, consistency, user-intent alignment, KB grounding, moderation compliance and appropriateness for the intended user journey.
• Identify and document hallucinations, unsupported claims, retrieval failures, KB gaps, prompt/input misalignment, wrong recommendations, inconsistent answers, overclaiming, weak fallback behaviour and repeated output-quality issues.
• Support retesting after updates to KB entries, prompts, metadata, tags, field structures, AI logic, moderation rules or product flows.
• Maintain clean KB Review Logs, AI Test Logs, issue logs, escalation records, retest notes, pattern summaries and handoff notes.

SELL (Handoff, Escalation, Pattern Feedback & Improvement):

• Produce clear weekly or deliverable-based updates showing items reviewed, AI tests completed, approvals, blocks, revisions, escalations, recurring issues, risks and next actions.
• Provide clear feedback to the Internal KB Designer, KB Licensor & Developer, Education Lead, AI Governance, AI Engineering, Technology, Data and other relevant teams.
• Escalate unclear, borderline, recurring, sensitive or high-risk moderation issues to the correct owner rather than normalising weak or unsafe behaviour.
• Report recurring AI output problems to AI Governance and AI Engineering, including hallucination patterns, rejected-content patterns, biased outcomes, incorrect recommendations, weak retrieval, poor user-intent alignment or moderation false positives/negatives.
• Recommend practical improvements to KB templates, metadata rules, tagging, prompts, input fields, expected-output rules, review checklists, moderation categories and AI test scenarios.
• Support periodic review, clean-up, replacement, deprecation or re-testing of KB objects where content becomes outdated, superseded, unapproved, unsafe, poorly performing or no longer fit for purpose.
• Supervise or coordinate KB Reviewer Volunteers and KB AI Output Tester Volunteers where assigned, including task allocation, output checks, feedback notes and escalation discipline.
• Keep all files, review logs, test records, evidence, screenshots, issue notes, handoff notes and outputs well named, versioned, permissioned and easy to retrieve for future team use.
• Fulfil additional tasks as required that are incidental to the above.

Expected Outputs:

• KB Review Logs covering user-uploaded, internally generated and developed KB items.
• Moderation check records, including acceptable-use, platform-integrity and legitimacy/authenticity notes.
• Review decisions, revision notes, escalation notes and approval/rejection status updates.
• AI Test Logs with input used, expected output, actual AI response, issue observed, severity, suspected cause, owner and next action.
• Hallucination, retrieval-failure, prompt/input misalignment, KB gap and moderation-failure logs.
• Retest validation notes after KB, prompt, metadata, field-structure, AI logic or moderation updates.
• Pattern summaries and weekly delivery updates.
• Handoff notes to Internal KB Design, KB Licensor & Developer, AI Governance, AI Engineering, Technology, Data, LPRGC or other relevant teams.
• Recommendations for improving KB quality, moderation rules, prompt logic, tagging, metadata, user inputs and AI-output behaviour.

Qualifications and Requirements:

Experience Level:

• Ideal for an early-career candidate (12-24 months) of either relevant internship, volunteering, consulting, project, or professional work experience in either content moderation, research review, quality assurance, assessment, AI output testing, education content review or product operations.

Knowledge:

• Bachelor’s degree, Diploma, HND/ND, postgraduate certificate or equivalent in either of the following disciplines is Education, Law, Social Sciences, Research, Data, Information Management, Knowledge Management, Computer Science, Product, Communications, Technology Policy or related fields is preferred, but not required.
• Working awareness of either content moderation, acceptable use, platform integrity, legitimacy/authenticity, misinformation/misleading-content indicators, plagiarism/copyright-plausibility, bias/fairness, user safety, confidentiality and escalation logic is useful.
• Understanding of how KB quality affects AI-enabled search, user guidance, user-uploaded content workflows, moderation and recommendations for curriculum, assessment, or other forms of content.
• Awareness of AI output risks such as hallucination, unsupported claims, wrong retrieval, prompt/input misalignment, weak fallback behaviour, overclaiming, inappropriate recommendations and inconsistent answers is useful but not required.
• Awareness of assessment integrity, fairness, confidentiality, 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 reading comprehension, review, writing, editing and issue-documentation skills
• Ability to follow and apply structured review frameworks, moderation rules, AI test scripts, checklists, registers, trackers or escalation workflows as provided.
• Ability to use Google Workspace / Microsoft Office tools effectively.
• Strong spreadsheet and tracker-management skills in Excel or Google Sheets, such as clean data entry, filters, status tracking, documenting issue logs, and issuing handoff notes.

Useful but not required:

• Ability to compare expected versus actual AI outputs and identify hallucinations, unsupported claims, missing KB context, weak retrieval, inconsistent behaviour or poor user-intent alignment.
• Ability to review KB objects for metadata completeness, tags, naming, source/status clarity, version control etc.
• Ability to use approved AI tools responsibly for review support, comparison, test design, issue categorisation, drafting and quality-checking while preserving human judgement, confidentiality and traceability.

Soft Skills & Attitude:

• Strong analytical, problem-solving and issue-spotting skills.
• High attention to detail and strong ownership mindset.
• Clear written communication and concise escalation notes.
• Ability to prioritise, execute and deliver with speed, accuracy and attention to detail in a remote environment.
• Comfortable challenging weak content, unsafe uploads, unclear moderation outcomes, poor outputs, incomplete metadata and unsupported assumptions respectfully.
• Curious, proactive, discreet and committed to continuous learning.
• Comfortable working in a fast-paced, cross-functional team with weekly deliverables.
• Strong alignment with Tongston’s mission, values and culture.

Benefits

• Monthly professional fee of NGN125,000.
• A monthly Remote Productivity Support Package.
• A company-provided laptop and access to Tongston-funded platforms, software, licensed tools and other approved resources required to perform your role effectively.
• Pathway to full-time employment opportunity to secure additional benefits, including pension, HMO, statutory employee leave categories, promotion-based entitlements, and staff welfare benefits.
• Exposure to user research, product strategy, user journeys, wireframing, prototyping, usability testing, analytics-informed design improvement, and cross-functional product delivery across web, mobile and other digital platforms.
• Team-based execution and support, including an overall project management structure, reporting to a line manager, and collaboration within a sprint-based team workflow with defined weekly deliverables.
• A structured learning and growth pathway supported through twice-yearly performance review, development and growth conversations (January & July). If you join after a review cycle, your first review will take place in the next review window. The review helps you document and communicate how you’ve grown, developed and demonstrated being Valuable, Influential & Profitable.
• Learning & Development budget: NGN200,000 to support continuous upskilling, role-specific learning and broader professional development.
• Up to 10 working days of approved paid time away from active delivery annually.
• Eligible for the Tongston Annual Personnel High Performance Award which comes with cash prizes and certificates you can include in your profile for future jobs.
• Professional Visibility: listed on Tongston’s website.
• Complimentary premium access to T-World, Tongston’s integrated digital platform.
• Eligibility for discretionary performance-based bonus/allocation.

Participation in Tongston Academy sessions (scheduled periodically):

• Personal branding (includes CV/LinkedIn review).
• Personal finance & investing.
• Sales, communication & networking.
• Business development & strategy.
• Project management, Cybersecurity awareness & Digital automation tools.

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