OneForma is looking for Video Data Collectors to join Project Rover, a remote data collection project that helps train next-generation AI models to better understand real-world environments, spatial navigation, and dynamic actions.
You will collect, source, or record high-quality real-world video footage that meets specific technical and content requirements. The submitted videos will be used to build AI datasets that power more intelligent computer vision systems and immersive AI technologies.
Whether you already have suitable footage in your video library or can capture new content, this is an opportunity to contribute to the future of AI while earning compensation for qualified submissions.
Why This Work Matters
The purpose of this project is to collect diverse, high-quality real-world videos that will help train AI models to better understand realistic environments, movement, and spatial awareness.
Videos that do not meet the technical or content requirements will not be accepted for compensation.
If you enjoy creating videos or already have a collection of high-quality footage, we’d love to have you contribute to the next generation of AI technology.
Required skills
Able to provide existing video footage or record new videos following the project guidelines.
All submitted videos must be free of copyright issues and privacy infringements.
Only non-PII (non-personally identifiable information) videos are accepted.
Review all footage before submission to ensure it meets the project’s quality standards.
Tag each submitted video with the required information.
Videos must meet the technical specifications:
MP4 preferred (H.264/H.265); MOV and MXF also accepted.
Minimum resolution: 720p (1080p or 4K recommended).
Appropriate bitrate based on resolution.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
Hiring companyOneForma
