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At-Home Smartphone Motion Video Contributor
About OpenTrain
OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect contributors with opportunities to help develop modern AI systems, build a credible work profile, and grow their experience in a fast-moving technology field.
For this role, OpenTrain AI is hiring and contracting with an individual contributor for remote work in eligible U.S. states. Creating an OpenTrain account is free, and applicants can apply in minutes.
About AI Training and Data Collection
AI training is the human side of building artificial intelligence. People collect, prepare, label, and review real-world examples so AI and robotics systems can learn how people move and interact with their surroundings.
This work offers a way to contribute to cutting-edge technology remotely, often with flexible hours. Careful data collection and consistent adherence to instructions are essential because high-quality examples help improve how intelligent systems understand human activity.
The Role
OpenTrain is seeking an at-home smartphone motion video contributor to record first-person video and synchronized smartphone IMU sensor data while completing assigned physical activities. You will use a smartphone mounted on a head strap, with both hands visible, and follow established collection and quality procedures.
This entry-level contractor opportunity is remote, limited to eligible U.S. states, and requires fewer than 20 hours per week. Compensation is $10 to $15 per hour.
- Employment type: Part-time contractor
- Location: Remote from eligible U.S. states
- Time commitment: Less than 20 hours per week
- Pay: $10 to $15 per hour
- Language: English
What You'll Do
You will complete assigned movement activities and record them from a first-person perspective. The work combines physical task execution, mobile technology, and accurate sensor-data capture.
You will also document observations, communicate clearly about questions, and deliver project materials according to established standards.
- Record first-person videos with a smartphone mounted on a head strap.
- Keep both hands visible while performing specified physical movements.
- Capture accurate motion data through the smartphone’s IMU sensors.
- Keep video recordings and sensor data synchronized.
- Follow protocols for data quality, labeling, standardization, and delivery.
- Meet established project deliverables and safely complete repetitive movements.
Requirements
You must have the equipment and ability to capture synchronized first-person video and smartphone sensor data. Strong attention to detail and reliable adherence to standardized collection procedures are central to the role.
Previous AI experience is not required if you can follow instructions and produce high-quality data. Background in robotics, kinesiology, human movement analysis, sensor-based data collection, activity segmentation, machine-learning dataset labeling, or organizing large datasets can be helpful.
- iPhone 12 or later, Google Pixel 6 or later, or Samsung Galaxy S21 or later
- Head strap capable of securely holding the phone while keeping both hands visible
- Comfort using a smartphone for video and sensor-data capture
- Ability to follow standardized collection protocols consistently
- Strong attention to detail and reliable delivery habits
- Clear written and verbal communication
- Ability to perform repetitive physical movements safely
Who Should Apply
This opportunity may suit people interested in AI training, robotics, human movement, mobile technology, or structured data collection. It is also a practical entry point for contributors who want to gain experience in AI and robotics datasets without requiring previous AI work.
Apply if you have the required smartphone and head strap, can work carefully from home, and are comfortable completing assigned physical activities while following detailed technical instructions.
How It Works
After applying through OpenTrain, selected contributors complete assigned collection tasks using their smartphone and head-mounted phone holder. Each activity should be recorded from a first-person perspective while the phone captures synchronized video and IMU sensor data.
Your attention to consistency, accurate documentation, and dependable delivery helps create useful training data for AI and robotics systems. OpenTrain also helps contributors build a profile that can support continued growth in AI training and data-labeling work.
