Founding Data Lead: Infra, Ops & Strategy - Remote

MetAntz; San Jose (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity package

Health insurance

Flexible PTO

Remote work options

Latest hardware and compute resources

Job summary

PhyAgents in San Jose, CA seeks a Lead Data to own data strategy, data collection, and data infrastructure for a multimodal robotics platform. You will define data requirements, oversee remote data operations teams, and shape the tooling and processes that ensure high-quality, scalable data for model training.

You will drive end-to-end data ownership, build the data engineering stack, and partner with modeling and product teams to enable reliable, long-horizon robotic performance in industrial

Qualifications

• Defining data requirements for every model we train, including tasks, conditions, volume, and quality bar.
• Closing the loop from evals and deployments back into data collection cycles.
• Diagnosing whether a failed policy is a data problem and owning the answer.

Responsibilities

• Stand up the remote data ops team: hiring plan, onboarding, certification, and daily rhythm.
• Designing collection protocols: teleoperation, handheld, ego video, and operator actions per take.
• Designing the annotation scheme: granularity, taxonomy, and adjudication rules.
• Building tooling for data capture, validation, upload, and fast feedback on bad takes.

Skills

Python

Systems programming

People management

Data quality

Data infrastructure

Robotics data

Education

Ph.D./M.S./B.S. in Computer Science or related field

Tools

S3 / data lake

Ray

Spark

Parquet

Iceberg

ROS

Job description

PhyAgents in San Jose, CA seeks a Lead Data to own data strategy, data collection, and data infrastructure for a multimodal robotics platform. You will define data requirements, oversee remote data operations teams, and shape the tooling and processes that ensure high-quality, scalable data for model training.

You will drive end-to-end data ownership, build the data engineering stack, and partner with modeling and product teams to enable reliable, long-horizon robotic performance in industrial