Data & AI Marker

iO Sphere; Cape Town; Remote; ZAR 112,000 - 223,000; Part time

Job summary

iO-Sphere is seeking a part-time assessor to mark submissions across data and AI subjects. You will deliver final judgments against criteria, provide targeted feedback, and help scale apprenticeship and bootcamp assessments. The role requires reliability to meet a 48-hour turnaround.

The engagement is remote with UK-hour alignment, starting October 2026 for roughly four months, with potential expansion if workload allows. DBS or safeguarding training is required.

Qualifications

• Subject-matter expertise across data analysis, business analysis, and AI governance.
• Strong ability to provide clear, constructive feedback and maintain quality standards.
• Experience with apprenticeship or vocational assessment is a plus.

Responsibilities

• Mark submissions across data, AI, and governance using the AI-assisted flow and provide actionable feedback.
• Meet the 48-hour SLA to protect learner experience.
• Maintain accurate assessment records for a regulated provider.

Skills

Data analysis

Business analysis

AI governance

Data governance

Job description

Flexible engagement· Hybrid, UK hours ·Starts October 2026 · Marking across our data & AI subject areas

You've got real depth across data and AI — data analysis, business analysis, and data or AI governance — enough to judge someone else's work fairly, and fast. This role is exactly that and nothing else: robust marking against the assessment criteria, turned around inside 48 hours, so learners never wait and cohorts never stall.

It's built for someone who wants flexible, focused work: no live delivery, no caseload — just high-quality assessment when the cohorts need capacity. Bootcamp units to start, and ideally apprenticeship portfolios too.

About iO-Sphere

We train people to do things with data and AI, not just learn about them. Learners work on real problems — including in Prism, a simulated business we built on 500 million rows of real data. 900+ people have trained with us, we're rated 4.8 on Google, and we're one of the UK's fastest-growing data and AI training startups. Teams at PwC, BAE Systems, Dunelm, Motorway and CBRE send us their people.

We're a startup, so how we coach isn't finished — and we'd want you helping build it. The people who improve how we do this are the ones deepest in it.

What you'll do

• Mark submissions across our subject areas — data analysis, business analysis, AI, and data or AI governance — using our AI-assisted flow in iO Academy: review the draft, make the final judgement against each assessment criterion, and write feedback specific enough to act on. Bootcamp cohorts to start, and ideally apprenticeship programmes too
• Hit the 48-hour SLA, reliably — that's the whole job, and it's what protects the learner experience
• Keep marking consistent and calibrated with the coaching team and our internal quality assurer (IQA)
• Keep assessment records accurate for a regulated, inspected provider

What we're looking for

• Subject-matter expertise across our areas — data analysis, business analysis, AI, and data or AI governance — enough to assess work in each with confidence
• Sound, consistent assessment judgement and clear, inclusive written feedback
• Reliable and organised — when you commit to 48 hours, it lands in 48 hours
• Ideally CAVA (Certificate in Assessing Vocational Achievement) — it's what lets you assess apprenticeship portfolios as well as bootcamp units. AET Level 3 covers the bootcamp side; if you hold neither, we can put you through CAVA — it isn't needed for immediate delivery, so there's time to gain it
• Experience assessing on Skills Bootcamps or apprenticeships is ideal
• Able to work UK hours

The essentials

• Flexible engagement to start, roughly four months. Starts October 2026.
• Remote, working UK hours
• Pay: ZAR 10,000-20,000 CTC per calendar month for 16 hours a week (flexible). Opportunity to expand if there's more work
• Enhanced DBS (or local equivalent) and safeguarding training — you'll be handling learner evidence for a regulated provider

Safeguarding and safer recruitment

iO-Sphere is committed to safeguarding and promoting the welfare of our learners, all of whom are adults aged 18 and over. Everyone who works with us shares that responsibility, whatever the role.

We follow safer recruitment practice. Depending on the role and your location, this may include identity and right to work checks, references covering your recent employment history, an explanation of any gaps, verification of qualifications, and a criminal records check appropriate to the role and jurisdiction. You will be told which checks apply before any offer is made.

Please apply honestly and in full. Having a criminal record will not automatically rule you out; we consider each case on its merits. Withholding or falsifying relevant information will result in your application being withdrawn or your engagement terminated.

Equal opportunities

iO-Sphere is an equal opportunities employer. We hire on merit and welcome applications from every background. If you need an adjustment at any stage, just tell us and we will make it happen.