Experience Fresher-friendly - open to freshers / early-career candidates
About the role
structured by ORIAll open roles AI ### 📷 AI Intern – Data Engine & Deployment - Teleoperation Systems, Data Pipelines, On-Robot Systems (6-12 months) Mountain View, CA (On-Site)/Internship Apply now Share ### About the role Join our data and perception team to build the systems that turn robotic experiments into trusted, usable…
What you will do
- Build and improve components of the teleoperation and demonstration-collection stack — rigs, operator interfaces, and collection workflows
- Support data collection operations on real robots and help raise throughput and data quality
- Contribute to the pipeline from robot to training set: ingestion, time synchronization of multimodal sensor streams, curation, filtering, and annotation tooling
- Build QA, metrics, and visualization tooling that keeps datasets consistent and trustworthy
- Help deploy trained policies to real hardware and run on-robot evaluations
What they are looking for
- Pursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Data Science, or a related field.
- Strong software engineering skills in Python (C++ a plus) in Linux environments: you write clean, working code and can debug across the stack
- Hands-on experience with real robots or physical systems — through research, projects, competitions, or prior internships
- Familiarity with the robot data workflow: collecting demonstrations (teleoperation or kinesthetic), logging multimodal sensor streams, and organizing data for training
- Comfortable working with sensor data (RGB/depth cameras, proprioception, tactile, force-torque) — capture, synchronization, and visualization
- Rigorous and self-directed: you can take a loosely specified problem, break it down, and drive it to a working result in a limited time
- Strong attention to data quality, observability, and reproducibility.
Nice to have
- Experience with PyTorch, OpenCV, ROS bags, depth cameras, or multimodal sensor datasets.
- Familiarity with robot learning (imitation learning, vision-language-action models) — enough to understand what models need from data
- Experience with dexterous hands, tactile sensing, or contact-rich manipulation setups
Before you apply
- A portfolio is recommended where relevant.
- Interview process: two technical interviews and one CEO interview.
- TN sponsorship available for eligible candidates.
Benefits
- Health coverage for interns.
- Lunch and dinner provided.
- Assistance with local transportation costs.
- Fully stocked office kitchen.
- TN sponsorship available for eligible candidates.
PythonC++software engineeringrobot data workflowteleoperationmultimodal sensor datadata qualityrobot learningLinuxPyTorchOpenCVROS bagsdepth cameras
Full posting text
All open roles
AI
📷 AI Intern – Data Engine & Deployment - Teleoperation Systems, Data Pipelines, On-Robot Systems (6-12 months)
Mountain View, CA (On-Site)/Internship
Apply now Share
About the role
Join our data and perception team to build the systems that turn robotic experiments into trusted, usable training and evaluation data. You will work on computer vision, data ingestion, annotation, storage, and tooling that supports fast iteration across dexterous robotics programs.
Requirements
- 01Pursuing a BS or MS in Computer Science, Robotics, Electrical Engineering, Data Science, or a related field.
- 02Strong software engineering skills in Python (C++ a plus) in Linux environments: you write clean, working code and can debug across the stack
- 03Hands-on experience with real robots or physical systems — through research, projects, competitions, or prior internships
- 04Familiarity with the robot data workflow: collecting demonstrations (teleoperation or kinesthetic), logging multimodal sensor streams, and organizing data for training
- 05Comfortable working with sensor data (RGB/depth cameras, proprioception, tactile, force-torque) — capture, synchronization, and visualization
- 06Rigorous and self-directed: you can take a loosely specified problem, break it down, and drive it to a working result in a limited time
- 07Strong attention to data quality, observability, and reproducibility.
- 08(+) Experience with PyTorch, OpenCV, ROS bags, depth cameras, or multimodal sensor datasets.
- 09(+) Familiarity with robot learning (imitation learning, vision-language-action models) — enough to understand what models need from data
- 10(+) Experience with dexterous hands, tactile sensing, or contact-rich manipulation setups
Details & responsibilities
- 01Build and improve components of the teleoperation and demonstration-collection stack — rigs, operator interfaces, and collection workflows
- 02Support data collection operations on real robots and help raise throughput and data quality
- 03Contribute to the pipeline from robot to training set: ingestion, time synchronization of multimodal sensor streams, curation, filtering, and annotation tooling
- 04Build QA, metrics, and visualization tooling that keeps datasets consistent and trustworthy
- 05Help deploy trained policies to real hardware and run on-robot evaluations
- 06Assist with hardware and sensor bring-up — cameras, tactile, force-torque — on collection and deployment rigs
- 07Work directly with the AI, hardware, and perception teams, and own a scoped project from idea to a working, demonstrated result
- 08A Proception employee will reach out directly to schedule additional interviews.
- 09A portfolio is recommended where relevant.
- 10Interview process: two technical interviews and one CEO interview.
Compensation & benefits
- 01Health Insurance: Health coverage for interns.
- 02Meals: Lunch and dinner provided.
- 03Commuter Benefit: Assistance with local transportation costs.
- 04Snacks and Drinks: Fully stocked office kitchen.
- 05Immigration Support: TN sponsorship available for eligible candidates.
- 06Career Growth: Strong potential for full-time conversion after the internship.
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