AI Data Ops Manager for Frontier ML Pipelines

Robotics Technologies; Mountain View (CA); On-site; USD 92,000 - 125,000; Full time

Job summary

Robotics Technologies LLC is seeking a Data Ops Manager with AI/ML experience in Mountain View, CA for a 12-month W-2/1099/C2C role. You will own and drive data strategy for research teams pushing frontier AI and RLHF, while shaping scalable data pipelines and partnerships.

You will lead cross-functional initiatives to optimize research velocity with rigorous quality standards, guiding data operations to align with model roadmaps and strategic priorities.

Qualifications

• Own and execute data strategy for research teams advancing AI capabilities.
• Build scalable data collection frameworks for experiments at scale.
• Translate research needs into high-quality data pipelines.
• Define data quality standards for model training.

Responsibilities

• Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows
• Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale
• Design and implement operational systems that translate research requirements into high-quality data pipelines
• Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems
• Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards
• Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations
• Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities

Skills

Data strategy

Data operations

Project management

Stakeholder comms

AI training

Tools

SQL

Python

Tableau

Job description

Robotics Technologies LLC is seeking a Data Ops Manager with AI/ML experience in Mountain View, CA for a 12-month W-2/1099/C2C role. You will own and drive data strategy for research teams pushing frontier AI and RLHF, while shaping scalable data pipelines and partnerships.

You will lead cross-functional initiatives to optimize research velocity with rigorous quality standards, guiding data operations to align with model roadmaps and strategic priorities.