Remote Video Contributor

About Xyntriq Xyntriq is a premier AI data annotation and collection company specializing in ethically sourced training data for real-world artificial intelligence systems. We collaborate with global enterprises to build high-quality, representative datasets for computer vision and machine learning models. As experts in precise AI data annotation, we are currently expanding our proprietary egocentric (POV) video datasets across international markets.

Role Overview We are looking for Remote AI Data Contributors across Latin America to help fuel our computer vision training models. In this 100% remote, flexible role, you will be a vital part of our data generation pipeline by using your smartphone to capture specific first-person (POV) videos of everyday routines.

What You Will Do:

• Generate high-quality video data by recording simple, daily activities following specific project parameters.
• Submit your consented video footage securely through the Xyntriq mobile data-collection app for our annotation teams to process.
• Review your data points (recordings) for clarity, ensuring they meet our strict AI quality and privacy standards.
• Work independently on your own schedule to help build next-generation AI datasets.

Mandatory Requirements:

• Location: Must reside in Latin America (LATAM).
• Device: You MUST own one of the following devices capable of high-fidelity capture: iPhone 12+, Samsung Galaxy S21+, or Google Pixel 6+.
• Age: 18+ years old.
• Skills: Basic computer literacy, attention to detail, and a reliable internet connection for secure data uploads.

Compensation & Perks:

• Base Pay: $5 USD per approved hour of raw video data.
• 🔥 The 7-Day Consistency Challenge: Register and upload at least 1 hour of video every day for your first 7 days, and we will permanently upgrade your payout to $6 USD per hour for all future work!
• Unlimited Earnings: There is absolutely no cap on the volume of data (hours) you can submit.
• Total Flexibility: Work whenever and wherever you want.

How to Apply: To fast-track your onboarding, please bypass the standard LinkedIn apply button and register directly on our contributor portal here: https://forms.gle/y7FPYhMzTJmPKDCp8