Job Title: AI Governance Graduate Officer at Tongston (Remote)

There are remote tech roles that look interesting from the title and disappoint the moment you read the job description. Then there are roles that, the deeper you read, the more you realise this is exactly the kind of work that builds a serious career. The AI Governance Graduate Officer position at Tongston Entrepreneurship Group is firmly the second kind.

Tongston is a multi-award-winning brand providing entrepreneurial education, media, enterprise and 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, higher education students, entrepreneurs, intrapreneurs and their institutions globally. 

The AI Governance Officer role was posted in July 2026 and applications close 31 August 2026. If you are reading this before that date, this is the most urgent item on this page.

What This Role Actually Is

This is not a coding role. It is not a data science role. It sits in a category that barely existed three years ago and is now one of the most consequential functions inside any AI-powered organisation: responsible AI governance.

The role is responsible for shaping, governing, testing, and coordinating the responsible deployment of AI systems powering Tongston and T-World. The purpose is to ensure that AI tools, assistants, agents, knowledge-base interactions, and AI-enabled workflows are clearly defined, ethically governed, properly tested, and aligned to real product needs across Tongston's four pillars: Enterprise, Media, Finance, and Entrepreneurial Education. 

In plain language: you are the person who makes sure Tongston's AI does what it is supposed to do, does not do what it should not do, and leaves a clear, auditable record of every decision made along the way. In a world where AI hallucinations, bias, and unexplained outputs are increasingly high-stakes, this role is where accountability lives.

What You Will Do Day to Day

The role owns the AI governance framework across the AI lifecycle — from use-case design and behaviour definition to prompt and knowledge-base interaction rules, knowledge-base admissibility, risk controls, output testing, governance registers, acceptance criteria, and release-readiness sign-off from a governance perspective. It ensures that AI systems are designed to improve user experience, support workflows, and uphold integrity, transparency, inclusiveness, safety, explainability, privacy, and responsible data use.

Practically, this means you will design AI governance frameworks, run structured hallucination and bias testing, maintain risk registers and issue logs, coordinate with Product, Engineering, and Education teams, and prepare governance reporting that senior leadership and external stakeholders can rely on.

This role oversees AI governance testing, including hallucination review, bias review, safety review, knowledge-base admissibility review, source-use review, prompt and knowledge-base interaction review, weak-input testing, fallback testing, and escalation tracking. 

Who Should Apply

A Bachelor's Degree, HND, current study, or equivalent practical experience in Computer Science, IT, Information Systems, Engineering, Data Science, Statistics, Economics, Mathematics, or another relevant technology, analytics, or quantitative field is preferred. Relevant training, certifications, bootcamps, or practical learning in project coordination, IT support, data analytics, QA and testing, AI tools, digital operations, or governance-related work will be an added advantage. Up to two years of relevant experience in an internship, NYSC, trainee, graduate, assistant, or junior role is preferred. 

You do not need to be a senior engineer. You need to be detail-oriented, analytically sharp, genuinely curious about how AI systems behave, and committed to the kind of rigour that governance work demands.

What You Get

A monthly professional fee of NGN 140,000. A monthly Remote Productivity Support Package. A company-provided laptop and access to Tongston-funded platforms, software, and licensed tools. A pathway to full-time employment with pension, HMO, and statutory benefits. A learning and development budget of NGN 150,000. Up to 10 working days of approved paid time away annually. Eligibility for a discretionary performance-based bonus. Listed on Tongston's website as a professional. Complimentary premium access to T-World. Participation in Tongston Academy sessions covering personal branding, personal finance, sales, business development, project management, cybersecurity awareness, and digital automation tools. 

How to Apply

Complete the application form directly. Applications are reviewed on a rolling basis, so early submission significantly improves your chances. Interested and qualified candidates should click here to apply online. The deadline is 31 August 2026. 

Apply here: https://docs.google.com/forms/d/1vCwj1enFW-x6O6SPj8YxtGu32D84KAE4o5O2ePX18Ik/edit

Bankable Wisdom Tip: The pre-screening questions in this application are the real interview. Do not rush them. Each question is an opportunity to demonstrate that you already think the way a governance officer needs to think — carefully, precisely, with attention to what could go wrong and why it matters. Spend 45 minutes on the application form. Most people spend five. That difference alone will show.