Data Collection Lead
| Company | 1X |
|---|---|
| Location | Palo Alto, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- Proven experience in running people-intensive operations at scale
- Understanding of technology, particularly in data collection and robotics
- Experience in data management and quality assurance
Responsibilities
- Design and lead large-scale data collection operations, ensuring data diversity, quality, and relevance for training and validating robotics systems
- Manage data collection using VR and other input methods, driving operational efficiency and innovation in data capture techniques
- Oversee data labeling and validation workflows, ensuring accuracy and consistency across all datasets
- Build and manage a large, distributed team of operators, providing training, resources, and support to maintain high performance
- Develop and enforce standards for data quality, ensuring collected data meets stringent criteria for machine learning and robotics applications
- Plan and scale operations to meet the growing data requirements of the organization, balancing resources, timelines, and output quality
- Collaborate with engineering and AI teams to align data collection and labeling operations with technical needs and research objectives
- Establish robust feedback loops to continuously improve data collection processes based on insights from engineering and validation teams
- Develop metrics to measure the success of data collection, labeling, and validation efforts, using these insights to optimize processes
- Prepare and transition the operator workforce to support end-customer services as Neo robots are deployed, ensuring seamless service delivery
- Leverage technology to automate and enhance workflows, reducing manual effort and increasing the scalability of data collection and labeling operations
Preferred Qualifications
-
No preferred qualifications provided.