About the role
structured by ORIAll open rolesAI📷 AI Intern – Data Engine & Deployment - Teleoperation Systems, Data Pipelines, On-Robot Systems (6-12 months)Mountain View, CA (On-Site)/InternshipApply nowShareAbout the roleJoin our data and perception team to build the systems that turn robotic experiments into trusted, usable training and…
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
Benefits
- Health Insurance: Health coverage for interns.
- Meals: Lunch and dinner provided.
- Commuter Benefit: Assistance with local transportation costs.
- Snacks and Drinks: Fully stocked office kitchen.
- Immigration Support: TN sponsorship available for eligible candidates.
Full posting text
All open rolesAI📷 AI Intern – Data Engine & Deployment - Teleoperation Systems, Data Pipelines, On-Robot Systems (6-12 months)Mountain View, CA (On-Site)/InternshipApply nowShareAbout the roleJoin 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.Requirements01Pursuing 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 stack03Hands-on experience with real robots or physical systems — through research, projects, competitions, or prior internships04Familiarity with the robot data workflow: collecting demonstrations (teleoperation or kinesthetic), logging multimodal sensor streams, and organizing data for training05Comfortable working with sensor data (RGB/depth cameras, proprioception, tactile, force-torque) — capture, synchronization, and visualization06Rigorous and self-directed: you can take a loosely specified problem, break it down, and drive it to a working result in a limited time07Strong 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 data10(+) Experience with dexterous hands, tactile sensing, or contact-rich manipulation setupsDetails & responsibilities01Build and improve components of the teleoperation and demonstration-collection stack — rigs, operator interfaces, and collection workflows02Support data collection operations on real robots and help raise throughput and data quality03Contribute to the pipeline from robot to training set: ingestion, time synchronization of multimodal sensor streams, curation, filtering, and annotation tooling04Build QA, metrics, and visualization tooling that keeps datasets consistent and trustworthy05Help deploy trained policies to real hardware and run on-robot evaluations06Assist with hardware and sensor bring-up — cameras, tactile, force-torque — on collection and deployment rigs07Work directly with the AI, hardware, and perception teams, and own a scoped project from idea to a working, demonstrated result08A 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 & benefits01Health 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.Interested in this role?Applying takes a few minutes — you'll need an account to submit.Apply now