Note: The job is a remote job and is open to candidates in USA. Maniformer AI is an embodied AI data infrastructure platform providing data collection hardware, simulation environments, and real-world data services. The Data Operations Engineer will lead end-to-end delivery of high-quality embodied AI training data, manage project resources, optimize data quality, and coordinate business, technical, and partner teams.
Responsibilities
- Collaborate closely with business and technical teams to accurately identify data requirements, and jointly develop scientific data collection plans, annotation execution plans, and actionable delivery schedules
- Oversee end-to-end project resource management, including collection site planning, equipment allocation, material preparation, and workforce deployment, ensuring seamless coordination across all stages and stable project operations
- Track quality issues and data usage feedback throughout the production process, optimize data production solutions (e.g., collection standards, annotation guidelines) in a targeted manner, and systematically improve the accuracy, completeness, and usability of delivered data
- Develop and standardize collection and annotation protocols, systematically train partner teams to align their capabilities with project requirements, and ensure cross-team execution consistency
Skills
- Bachelor's degree or above; all majors are welcome
- 3+ years of full-cycle delivery management experience in data collection/annotation projects
- Extreme sensitivity to data quality with a strong sense of responsibility; capable of independently owning data quality accountability and ensuring deliverables meet high standards
- Excellent cross-functional communication and collaboration skills, with the ability to efficiently coordinate business, technical, and other resources to resolve project-related issues
- Strong product mindset, with the ability to proactively identify potential needs based on business scenarios, propose reasonable product optimization suggestions, and drive their implementation
- Candidates with a background in Computer Science, Artificial Intelligence, or prior experience in AI-related projects are preferred
- Hands-on experience with data projects in robotics, autonomous driving, or related industries is highly preferred
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