Applied AI/Data Engineering Intern
Progressive Data Jobs
Position Summary
We are seeking an Applied AI / Data Engineering intern to help build and scale our AI-powered research infrastructure. You will contribute to the design and implementation of data pipelines that process millions of social media posts, integrate LLM APIs for content classification, and develop tools to help researchers analyze online harms more effectively.
Please find a detailed job description here.
Key responsibilities include:
- Platform & Pipeline Development (40%)
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Support the development of a social media analytics platform.
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Contribute to the development of a low-code tool by building ETL workflows that process large-scale social media data, including handling uploads, data standardization, and bulk indexing.
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Connect to social media APIs (e.g., X, Reddit), manage rate limits, handle authentication, and pipeline data reliably and efficiently.
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AI & LLM Integration (40%)
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Design and implement classification systems using OpenAI, Anthropic, and other LLM APIs to detect violent rhetoric, hate speech, and other indicators of online harm at scale.
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Experiment with and drive innovation around the use of AI technologies to enhance the organization’s technical capabilities, including identifying opportunities to improve workflows through new and existing technology
- Research Support (20%)
- Contribute to technical tasks for 1-2 ISD research outputs (examples of past research available here, here, and here).
The ideal candidate
Interns at ISD play an important role in the organisation and support teams in several ways, from working on large organisation-wide projects, to various ad hoc tasks which will build out your wider experience and exposure.
Please review our job description for essential criteria, and keep in mind that no candidate will meet every requirement in the advert. If your experience looks a little different from what we’ve identified, but you think you can bring value to the role, we’d love to hear from you.