A13019 - Livingstone-E LLM Project
This project involves the construction and verification of a multi-modal (video-based) dataset focusing on daily life scenarios in a home environment.
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With over 20 years of IT experience, I have developed strong expertise in data management, user support, and technical troubleshooting, which translates well to data labeling and AI training data roles. I have hands-on experience with video recording for data projects (uTest, Toloka B.V.) and am skilled in remote access fault diagnosis, system backup, and network implementation. My background includes supporting large-scale World Bank projects, implementing data security procedures, and training users to ensure data quality and consistency. I hold certifications in Generative AI, CCNA, and programming, and am adept at both technical and user-facing aspects of data annotation and quality assurance. I am committed to delivering high-quality, reliable data that supports the development of robust AI solutions.
This project involves the construction and verification of a multi-modal (video-based) dataset focusing on daily life scenarios in a home environment.
Build a high-quality, demographically diverse dataset of facial images to advance research in age estimation, face recognition across age progression, and digital identity verification.
● Record yourself performing household tasks from a first-person perspective ● All quality standards must be met for a recording to be accepted ● The focus is on capturing clear, stable footage of your hands doing useful physical work
1. Participants are required to record themselves following a set of instructions provided in the test case. 2. Participants must be 18+ years old and must sign the NDA and Consent Form. 3. Participants must have access to at least 2 of these types of devices Desktop / Laptop / Smartphone or Tablet (Android or iOS). 4. Access to a vehicle (4-wheeler) is required for some of the slots. 5. Participants are required to capture 8 short live videos, along with some images, following the light conditions, locations, and other requirements stated in the slot.
Master of Arts, English
Bachelor of Arts, English
Deputy Manager, IT
Assistant Manager, IT