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5 jobs similar to First-Person (Egocentric) Video Data Collector

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US

  • Wear a head-mounted camera to record yourself completing everyday household tasks for AI training.
  • Follow scripted or natural instructions while being recorded and demonstrate realistic human movements.
  • Review recordings for quality and report any technical issues with the equipment.

Innodata is a global data engineering company that enables the responsible advancement of AI by providing data, evaluation frameworks, and human expertise. With a 36+ year legacy, we deliver high-quality data solutions for Generative AI builders and adopters.

Brazil

  • Participate in a remote video recording study by creating sample recordings to evaluate and improve digital media capture technologies.
  • Prepare a quiet, well-lit environment and use a smartphone or webcam to capture short video samples following provided scripts.
  • Upload video files securely through the provided platform, completing activities independently and according to guidelines.

Jobgether uses an AI-powered matching process to connect candidates with hiring companies. It is a platform that leverages technology to streamline job applications, focusing on fair and objective candidate review.

Global

  • Set up a quiet, well-lit space and record short videos using your own device.
  • Read provided scripts and answer prompts on camera, then review for clear audio and video.
  • Upload the completed files to our secure platform for evaluation.

Terac is building the world's largest pool of vetted human experts for AI. They recruit, screen, and pay study participants across industries, languages, and skill sets.

$30–$60/hr
US

  • You will record and submit high-quality video demonstrations of household tasks to train the robot's AI.
  • You will follow detailed instructions and incorporate feedback from reviewers to ensure data accuracy.
  • You will communicate clearly, protect confidentiality via NDA, and complete tasks reliably.

Sunday develops personal robots that reclaim hours lost to household tasks. The team has spent 18 months building talent and validating technology, and is now scaling with a collaborative, innovative culture.