Available: from November 2025 until June 2026
Join our innovative team for a three-month virtual internship focused on building a foundational dataset for a cutting-edge AI model. The core mission is to enable the AI to understand human engagement in events by combining emotions, sentiments, behaviours, and actions. Your primary task will be to source and meticulously localise “movie clips” or other open-source clips and/or datasets that depict characters interacting in events with specific Points of Interest (POIs), such as products, artefacts, or technology.
Desired Skills & Outcomes:
The candidate should be detail oriented, have a keen analytical eye for scene analysis, and have a strong interest in AI and data. By the end of this internship, you will have gained hands-on experience in the crucial data preparation pipeline for computer vision and AI, contributing directly to a project at the intersection of multimedia analysis and human-computer interaction. You will deliver a curated and annotated portfolio of “clips”, forming the cornerstone of our future engagement detection model.
The work will be integrated into the project in development
by the company SPIC, Digital Studio and UAlg: AI.EVENTS
(AI.EVENT – Scientific microsite).
Key Responsibilities:
• Sourcing & Scene Identification: Research and select a diverse range of clips in different type of events to ensure a rich, unbiased dataset. You will identify and catalogue key scenes where a character's engagement with a predefined POI is central to the narrative.
• Data Localisation & Annotation: Precisely timestamp the start and end of these engagement sequences and/or clips with the above-mentioned subjects. Your clips (with detailed annotations*) will form the basis for training the AI, focusing on the character's observable reactions and interactions.
• Taxonomy Application (optional): Utilise a structured taxonomy to tag scenes (with relevant labels for emotional cues, behavioural patterns, and actions).
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.
