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AI Intern

Job in Johannesburg, 2000, South Africa
Listing for: Company : Datafin
Apprenticeship/Internship position
Listed on 2026-10-03
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Evaluation
Job Description & How to Apply Below
Position: Job: AI Intern

JOIN an applied-AI work on a structured, mentored pathway, rotating through the data engineering that feeds it as the next AI Engineer wanted by a provider of tailored Financial Solutions. You will prepare trusted data for AI workloads, help run an in-house governed AI platform, and test AI-assisted use cases under supervision and strictly inside policy. This is an engineering-and-governance internship , not a research post, and you will not be training bespoke models.

What you will learn is how AI gets used safely and usefully on real, sensitive data in a regulated business. Interns who grow well here are first in line as the team expands, and the combined Data & AI

Responsibilities
  • Prepare, clean, validate, and document the datasets that AI and search workloads consume.
  • Support the in-house governed AI platform: content ingestion, indexing, configuration, and routine health checks under supervision.
  • Test and evaluate AI-assisted use cases such as summarisation, classification, search, extraction, and automation against defined success criteria.
  • Write small Python scripts and notebooks to automate repetitive data preparation and evaluation tasks.
  • Record evaluation evidence: what was tested, what the AI produced, what a human reviewer changed, and why.
  • Apply data-minimisation and anonymisation rules without exception, which means no personal information, credentials, or production data goes into unapproved tools.
  • Contribute to documentation: use-case write-ups, prompt and configuration notes, data dictionaries, and testing evidence.
Qualifications
  • Qualification in progress or recently completed in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or related.
  • Exposure to APIs, notebooks, retrieval / vector search concepts, or any LLM tooling.
  • Any project where you used AI to solve a real problem, especially if you can explain where it got things wrong.
  • Portfolio, coursework, hackathon, or capstone evidence of data or AI problem-solving. Show us anything you have built.
  • Basic awareness of responsible-AI concerns: bias, hallucination, privacy, and traceability.
Hiring organization

Datafin

Employment Type: internship

Job Location: Johannesburg,Gauteng,South Africa

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