Video Data Entry Specialist (LATAM)

About this role

Mexico, Costa Rica, Panama, Dominican Republic, Brazil, Argentina, Colombia, Chile, Uruguay, Jamaica, Bahamas, and Barbados Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Skills

Key responsibilities

• Capture precise motion data using your smartphone’s IMU sensors during specified physical activities.
• Record synchronized video footage to ensure data accuracy and enhance the integrity of all collected motion data.
• 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’s duration.
• Communicate clearly and proactively with the team to clarify requirements and share insights on data collection practices.
• Maintain timely and reliable delivery of your outputs, aligned with project milestones and expectations.
• Participate in device compatibility checks and an innovative, AI-enabled interview process as part of onboarding.

Required skills & qualifications

• Access to a head strap to be able to record both hands within 48 hours of the start date.
• Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
• Meticulous attention to detail and a proven record of following standardized protocols.
• Demonstrated ability to consistently manage output and meet deadlines in a dynamic, data-driven environment.
• Exceptional written and verbal communication skills essential for documentation and remote collaboration.
• Advanced tech-savviness and experience with mobile devices for sensor and video data capture.
• Physical ability to engage in repetitive movement tasks safely and effectively.
• Access to a compatible smartphone capable of high-fidelity data collection.
• Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.

Preferred qualifications

• Background in robotics, kinesiology, sensor-based data collection, or related technical disciplines.
• Experience with human motion analysis, activity segmentation, or machine learning dataset labeling.
• Familiarity with structuring large-scale datasets for AI and robotics applications.