Data-Video Generalist for AI Model Training

As a Data Specialist - Video, you will play a crucial role in shaping the future of activity recognition and robotics. This remote position allows you to contribute vital synchronized movement and video data, advancing state-of-the-art machine learning models for next-generation technologies.

• Capture accurate movement data using your smartphone''s IMU sensors during specific physical activities.
• Record synchronized video footage to ensure data accuracy and enhance the integrity of all collected movement information.
• Follow detailed technical protocols to consistently meet strict quality, labeling, and determinism standards.
• Deliver a minimum of 10 hours of high-quality, approved video data each week throughout the project duration.
• Communicate clearly and proactively with the team to clarify requirements and share insights on data collection practices.
• Maintain timely and reliable delivery of results, aligned with project milestones and expectations.
• Participate in device compatibility reviews and an innovative AI-enabled interview process as part of the onboarding.

• Access to a head strap to record both hands within 48 hours of the start date.
• Compatible devices: iPhone 11 or newer, Google Pixel 6 or newer, and Samsung Galaxy S21 or newer.
• Meticulous attention to detail with a proven track record of following standardized protocols.
• Demonstrated ability to consistently manage production and meet deadlines in a dynamic, data-driven environment.
• Excellent written and verbal communication skills, essential for documentation and remote collaboration.
• High level of technological proficiency and experience with mobile devices for sensor and video data capture.
• Physical capability to perform repetitive movement tasks safely and effectively.
• Access to a compatible smartphone capable of collecting high-fidelity data.

Note: Applications submitted with a Gmail address are strongly preferred for seamless integration with our tools.

• Background in robotics, kinesiology, sensor data collection, or related technical disciplines.
• Experience in human motion analysis, segmentation, or similar fields.