Data Labelling - Internship

Selected intern's day-to-day responsibilities include:

1. Data Annotation & Labelling: Carefully labelling and annotating image and
text datasets (such as ad creatives, headlines, CTAs, layouts) following
predefined guidelines.
2. Data Cleaning & Preparation: Organising, cleaning, and structuring data
using Python scripts or spreadsheets to make it ready for AI model training.
3. Quality Assurance: Reviewing labelled data to ensure consistency,
accuracy, and alignment with project requirements.
4. Assist in AI Workflow: Collaborating with the AI team to prepare training
datasets and understand how your labelled data impacts model performance.
5. Documentation & Reporting: Maintaining clear records of labelling
progress, reporting edge cases, and suggesting improvements to the annotation
process.
6. Experiment Support (Optional): Assisting in basic model testing or running
small scripts under the guidance of the AI team.
7. Cross-Functional Collaboration: Working closely with designers and product
managers to refine annotation standards and understand creative requirements.