Ferial Dramat

I have approximately two years of practical experience in data collection for AI and machine learning projects, working with companies including FileMarket, DataVale, Tarmac/Tarmack and Human Motion Data.

My experience involves collecting real-world visual data through first-person (egocentric/POV) video recording. I have recorded everyday household activities, including cooking, cleaning, washing dishes, organising and handling objects, to support the development of datasets used to train artificial intelligence and computer vision systems.

My responsibilities include following detailed project instructions, recording activities from a first-person perspective, maintaining correct camera positioning and ensuring that hands, objects and movements remain clearly visible. I understand the importance of capturing natural, uninterrupted footage that accurately represents everyday human activities.

I have experience managing recording sessions, meeting daily targets, using recording applications and equipment, and submitting footage according to specific project requirements.

I also perform quality checks to ensure recordings meet required standards for clarity, stability, framing, duration and technical specifications. I pay close attention to detail and ensure that submitted material follows project guidelines.

Through these projects, I have developed an understanding of how human activity data helps AI models recognise objects, interpret movements, understand human interactions and learn everyday tasks.

I am comfortable working independently in remote environments, adapting to different instructions, meeting deadlines and maintaining consistency across data collection assignments. My experience has provided me with a solid foundation in AI data collection, computer vision and machine learning support.