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Member of Technical Staff, Robotics Research

micro1 is hiring a Member of Technical Staff, Robotics Research to work at the intersection of robotics, embodied AI, and data. This role focuses on researching and designing datasets, collection methods, schemas, annotations, and evaluation frameworks that power next-generation robot learning and perception systems. You'll collaborate with leading AI and robotics teams to translate frontier research challenges into scalable, high-quality data solutions for real-world physical AI.

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Salary

$20 - $50 / hour

Department

Robotics Research & Physical AI

Experience

2–5+ years

Responsibilities

Research the data requirements of frontier robotics, world models, and physical AI systems.
Design datasets and data collection methods spanning egocentric video, teleoperation, UMI, robot trajectories, sensors, and simulation.
Define data schemas, annotations, ground truth, and evaluation frameworks for robotics applications.
Develop data specifications for manipulation, navigation, spatial reasoning, and physical understanding tasks.
Run experiments to determine which data types, structures, and evaluation methods most effectively improve model performance.
Collaborate with leading AI and robotics laboratories to translate research requirements into scalable data pipelines and products.
Design scalable approaches for collecting, structuring, and validating multimodal robotics data.
Contribute to the development of datasets supporting robot learning, perception, and embodied intelligence.
Stay current with frontier robotics and embodied AI research and use emerging insights to shape robotics data strategy.
Communicate research findings, dataset requirements, and technical recommendations clearly across cross-functional teams.

Skills

RoboticsRobotics DataRobot PerceptionEmbodied AIPhysical AISchema DesignRobotics R&DComputer VisionMultimodal LearningApplied Machine LearningDataset DesignData CollectionData AnnotationGround Truth DesignEvaluation FrameworksEgocentric VideoTeleoperationRobot TrajectoriesSensor DataSimulationImitation LearningWorld Models

Requirements

2–5+ years of professional or research experience in robotics, computer vision, multimodal learning, embodied AI, applied machine learning, or a related field.
Strong understanding of robotics, physical AI, robot perception, and multimodal data.
Ability to translate open-ended research challenges into concrete datasets, experiments, schemas, and technical specifications.
Experience designing or evaluating structured data for machine learning or robotics applications.
Strong technical communication skills and ability to collaborate effectively across research, engineering, and product teams.
Degree in Robotics, Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience.
Experience with embodied AI datasets, imitation learning, teleoperation, or robot learning pipelines is advantageous.
Experience working with multimodal robotics datasets involving video, sensors, trajectories, or simulation is preferred.
Hands-on experience with robotics hardware, sensor integration, or rapid prototyping is a plus.
Familiarity with data collection and evaluation for manipulation, navigation, spatial reasoning, or world models is advantageous.

Benefits

Full-time remote opportunity
National base salary range of $200,000–$320,000 USD
Equity compensation eligibility
Performance-based bonus opportunities
Up to 100% reimbursement for health insurance premiums
Paid time off
401(k) plan with company match
Work directly on frontier robotics, embodied AI, and physical AI problems
Collaborate with leading AI and robotics teams
Shape the datasets and evaluation systems used for next-generation robot learning
Contribute to micro1's long-term robotics data strategy

Member of Technical Staff, Robotics Research

Responsibilities

Research the data requirements of frontier robotics, world models, and physical AI systems.

Design datasets and data collection methods spanning egocentric video, teleoperation, UMI, robot trajectories, sensors, and simulation.

Define data schemas, annotations, ground truth, and evaluation frameworks for robotics applications.

Develop data specifications for manipulation, navigation, spatial reasoning, and physical understanding tasks.

Run experiments to determine which data types, structures, and evaluation methods most effectively improve model performance.

Collaborate with leading AI and robotics laboratories to translate research requirements into scalable data pipelines and products.

Design scalable approaches for collecting, structuring, and validating multimodal robotics data.

Contribute to the development of datasets supporting robot learning, perception, and embodied intelligence.

Stay current with frontier robotics and embodied AI research and use emerging insights to shape robotics data strategy.

Communicate research findings, dataset requirements, and technical recommendations clearly across cross-functional teams.

Skills

Requirements

2–5+ years of professional or research experience in robotics, computer vision, multimodal learning, embodied AI, applied machine learning, or a related field.

Strong understanding of robotics, physical AI, robot perception, and multimodal data.

Ability to translate open-ended research challenges into concrete datasets, experiments, schemas, and technical specifications.

Experience designing or evaluating structured data for machine learning or robotics applications.

Strong technical communication skills and ability to collaborate effectively across research, engineering, and product teams.

Degree in Robotics, Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent practical experience.

Experience with embodied AI datasets, imitation learning, teleoperation, or robot learning pipelines is advantageous.

Experience working with multimodal robotics datasets involving video, sensors, trajectories, or simulation is preferred.

Hands-on experience with robotics hardware, sensor integration, or rapid prototyping is a plus.

Familiarity with data collection and evaluation for manipulation, navigation, spatial reasoning, or world models is advantageous.

Benefits

Full-time remote opportunity

National base salary range of $200,000–$320,000 USD

Equity compensation eligibility

Performance-based bonus opportunities

Up to 100% reimbursement for health insurance premiums

Paid time off

401(k) plan with company match

Work directly on frontier robotics, embodied AI, and physical AI problems

Collaborate with leading AI and robotics teams

Shape the datasets and evaluation systems used for next-generation robot learning

Contribute to micro1's long-term robotics data strategy