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XDOF

Data pipelines and annotation for robotics

LATAM Operations Lead

Business OperationsConfirmed live in the last 24 hours
Full-timeMexicoNo salary listed

About the Job

Requirements

  • At least 3 years of experience managing field operations, growth, or ground execution for major technology platforms, Internet of Things companies, or hardware-enabled startups.
  • A proven track record of sourcing, onboarding, and managing small and medium-sized enterprise partnerships and vendor networks is required.
  • A solid grasp of embodied artificial intelligence and machine-learning data fundamentals, including teleoperation workflows and egocentric or first-person vision requirements, with the ability to translate technical data specifications into field operational plans.
  • Ability to work directly in ambiguous, unstructured, or high-friction environments and travel frequently.
  • Ability to combine analytical funnel management using SQL or Excel and conversion rates with face-to-face field negotiation.

Responsibilities

  • Own the ground-level expansion strategy and its initial execution to build a growing pipeline of robotics data collection venues and access points across retail, logistics, industrial, urban, and other settings.
  • Develop and close a diversified network of data collection venues and access points.
  • Recruit, train, and manage data collection execution teams, and establish standard operating procedures to ensure data integrity and operational velocity.
  • Monitor offline operational data to optimize workflows and staffing, control cost per usable hour, and maximize output.
  • Manage deployment, maintenance, and calibration of multimodal data collection hardware.
  • Provide operational feedback to central teams and document market learnings as standard operating procedures and playbooks for reuse in future markets.
  • Build the region's ground-level data acquisition operation in Latin America into a fully operating, self-auditing local network.
  • Own the end-to-end process of securing high-fidelity physical-world data, from signing individual high-value venues to establishing multi-scenario local partnerships.

Desired Qualifications

  • Working proficiency or fluency in Spanish, Portuguese, or other target-market languages is highly preferred.

About the Company

XDOF

Data pipelines and annotation for robotics

XDOF builds data pipelines, data-collection tools, and annotation systems that frontier AI labs and robotics companies use to train robots to operate in the physical world. It tackles the data bottleneck in physical AI by combining teleoperation, simulation, and egocentric data collection, then layering in data cleaning, tooling, and annotation to prepare usable datasets. The company differentiates itself through its end-to-end data infrastructure for physical AI, its mix of teleoperation, simulation, and first-person data methods, and its Berkeley-founded background from 2024. Its goal is to enable robots to learn to operate in the real world by providing the pipelines and labels needed for training.

Company size
1-10
Company stage
Series A
Total funding
$78.3M
Headquarters
Berkeley, CA
Founded
2024

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