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Director of Robotics Research

SaidGig

Lead the research team shaping the data foundations for robot learning. This remote, full-time role sets the technical direction for a Robotics Data Engine, advancing capable robotic systems through research spanning robotics, perception, learning, and large-scale data. Key Responsibilities

  • Define and execute research strategy for robotics data, embodied AI, and robot learning.
  • Lead research on robotics datasets, multimodal representations, perception, manipulation, and data-centric learning.
  • Build, mentor, and develop a team of Robotics Researchers, supporting scientific rigor, curiosity, and rapid experimentation.
  • Develop data-collection approaches using teleoperation, human demonstrations, simulation, autonomous exploration, and real-world deployments.
  • Design scalable data pipelines, including collection workflows, task taxonomies, annotation schemas, quality controls, evaluation methods, and delivery formats.
  • Turn research and client objectives into scalable pipeline specifications, including data requirements, collection strategies, labeling standards, and success metrics.
  • Partner with research, engineering, product, and operations teams to operationalize pipeline designs and deliver production-ready robotics data solutions.
  • Establish scalable benchmarks and evaluation frameworks to assess and improve robot-learning performance.
  • Evaluate emerging research, datasets, and techniques from academic and industry leaders.
  • Promote technical excellence through documentation, knowledge sharing, and clear cross-functional communication.
Qualifications
  • Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering.
  • Experience leading or mentoring high-performing technical or research teams.
  • Deep knowledge of robotics data pipelines, multimodal datasets, and data infrastructure for robot learning.
  • Strong expertise in robot perception, manipulation, control, imitation learning, reinforcement learning, or robotics foundation models.
  • Experience designing and evaluating large-scale robotics datasets and data-collection strategies.
  • Ability to translate advanced research ideas into scalable engineering systems.
  • Excellent written and verbal communication skills and experience working across multidisciplinary teams.
  • A commitment to advancing embodied intelligence through innovative, data-driven research.
  • Preferred: a Master''s or PhD in Robotics, Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
Work Terms
  • Remote, full-time position.
Compensation
  • Annual compensation of $1, 500, 000 to $4, 000, 000.
Vacancy posted more than 2 months ago
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