Remote Robotics Researcher - Data Pipelines & Perception

Crossing Hurdles; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Crossing Hurdles is seeking a senior Robotics Research leader in the United States to define and execute a strategy for robotics data, embodied AI, and robot learning. You will lead a multidisciplinary team, drive rapid experimentation, and shape data-centric approaches across perception, manipulation, and learning.

The role focuses on building scalable data pipelines, coordinating collection and annotation efforts, and collaborating with product, engineering, and operations to deliver

Qualifications

• Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering.

Responsibilities

• Define and execute the research strategy for robotics data, embodied AI, and robot learning.
• Lead research initiatives focused on robotics datasets, multimodal representations, perception, manipulation, and data-centric learning.
• Build, mentor, and grow a team of Robotics Researchers while fostering a culture of scientific rigor, curiosity, and rapid experimentation.
• Develop novel approaches for collecting robotics data through teleoperation, human demonstrations, simulation, autonomous exploration, and real-world deployments.
• Design scalable robotics data pipelines by defining collection workflows, task taxonomies, annotation schemas, quality control processes, evaluation methodologies, and final data delivery formats.
• Partner with research, engineering, product, and operations teams to operationalize pipeline designs and deliver production-ready robotics data solutions.

Skills

Robotics research

Embodied AI

Robot learning

Team leadership

Data pipelines

Job description

Crossing Hurdles is seeking a senior Robotics Research leader in the United States to define and execute a strategy for robotics data, embodied AI, and robot learning. You will lead a multidisciplinary team, drive rapid experimentation, and shape data-centric approaches across perception, manipulation, and learning.

The role focuses on building scalable data pipelines, coordinating collection and annotation efforts, and collaborating with product, engineering, and operations to deliver