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XDOF

Data pipelines and annotation for robotics

Technical Recruiter

Technical RecruitingConfirmed live in the last 24 hours
Full-timeSan Mateo, CA, USA$150k - $220k /yrIn-person

About the Job

Requirements

  • At least 2 years of experience in technical recruiting, preferably at a high-growth startup or technology company.
  • A proven track record of sourcing and placing technical talent, such as software engineers, robotics specialists, or data professionals.
  • Strong interpersonal and communication skills focused on building relationships.
  • Ability to work independently and adapt to ambiguity in a fast-changing environment.
  • Familiarity with applicant tracking systems and sourcing platforms.

Responsibilities

  • Manage full-cycle recruiting by sourcing, screening, interviewing, and helping close candidates for roles across engineering, operations, and business functions.
  • Collaborate with hiring managers to understand role requirements, build job descriptions, and create structured interview processes.
  • Source and engage passive talent through creative research, networking, and direct outreach.
  • Maintain a robust candidate pipeline using applicant tracking systems and other recruiting tools.
  • Ensure a positive and seamless candidate experience from first contact through onboarding.
  • Track, analyze, and report on key recruiting metrics to drive process improvements.
  • Represent XDOF by sharing its story, values, and mission with prospective candidates.

Desired Qualifications

  • Passion for emerging technology, robotics, and AI.

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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