Robotics Data Collector (United States)
CNTXT AI · Albany, NY · 4 days ago
RemoteRemoteInformation TechnologyPart-time
Key Responsibilities
- Collect robotics and egocentric (first-person) data using: Cameras (handheld, head-mounted, or robot-mounted), Sensors (IMU, depth cameras, etc.).
- Execute data collection tasks based on predefined scenarios and protocols.
- Ensure consistent and accurate recording of actions, interactions, and environments.
- Assist in operating robotic systems (humanoid or mobile robots) during data collection.
- Support setup and calibration of: Cameras and sensors, Recording systems.
- Ensure proper functioning of hardware during experiments.
- Review collected data for: Completeness, Clarity, Accuracy.
- Identify and flag issues such as: Missing data, Recording errors, Sensor misalignment.
- Follow quality guidelines to ensure high usability for AI training.
- Prepare environments for data collection sessions.
- Execute tasks such as: Object manipulation, Navigation scenarios, Human-robot interaction recordings.
- Follow detailed instructions to simulate real-world use cases.
- Maintain records of: Data collection sessions, Equipment usage, Issues encountered.
- Provide feedback to improve data collection processes and protocols.
- Follow all lab safety protocols and operational guidelines.
- Handle robotics equipment and sensors with care.
- Ensure compliance with data privacy and security requirements.
Required Qualifications
- 0–3+ years of experience.
- Data collection, field operations, or lab environments.
- Technical or hardware-related roles.
- Comfortable working with: Cameras, sensors, and recording devices.
- Basic computer systems and tools.
- Strong attention to detail and ability to follow instructions precisely.
Preferred Skills
- Experience with robotics systems or hardware environments.
- Familiarity with: Egocentric or first-person data collection, Computer vision or AI-related datasets.
- Basic understanding of: Robotics concepts, Sensors and data recording tools.
Key Traits
- Detail-oriented and quality-focused.
- Hands-on and execution-driven.
- Reliable and consistent in following protocols.
- Comfortable working in dynamic environments.
- Curious about robotics and AI.