Ego centric data collection Participant

Company Description DeepLLMData specializes in providing high-quality human-generated data to power cutting-edge frontier AI models. The company collaborates with experts across coding, STEM, mathematics, and domain-specific fields to deliver supervised fine-tuning and reinforcement learning from human feedback (RLHF) datasets. It also works with skilled image and video annotators to create rich, structured multimodal datasets. DeepLLMData supports clients with both annotation and data provisioning services, enabling more accurate, reliable, and safe AI systems for a wide range of applications.

Role Description As an Ego Centric Data Collection Participant at DeepLLMData, you will contribute to building advanced AI models by capturing and sharing high-quality, first-person (ego-centric) video and related data. On a typical day, you will follow detailed data collection protocols, use specified recording devices or applications, and perform everyday tasks while accurately documenting your environment and actions. You will ensure that all recordings meet project standards, maintain data privacy and confidentiality, and upload or manage collected data through secure platforms. Collaboration with project coordinators and adherence to safety and ethical guidelines are central to the role. This is a full-time remote position, offering flexibility in location while requiring reliable connectivity and consistent availability.

Qualifications

• Candidates should have participated in the first-person data collection and should have the equipments camera for recording. .
• Comfort with using digital tools, cameras, or mobile apps for video and sensor data collection.
• Attention to detail, ability to follow precise instructions, and commitment to data privacy and ethical standards.
• Strong communication skills and ability to collaborate with remote teams and project managers.
• Reliable internet access and a suitable environment for consistent, high-quality data recording.
• Prior experience in data collection, research studies, or user testing is beneficial .