AI Intern Data Engine & Deployment - Teleoperation Systems, Data Pipelines, On-Robot Systems (6-12 months)

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: 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.
(+) 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

• 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.

• Career Growth: Strong potential for full-time conversion after the internship.

• 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

• Assist with hardware and sensor bring-up — cameras, tactile, force-torque — on collection and deployment rigs

• Work directly with the AI, hardware, and perception teams, and own a scoped project from idea to a working, demonstrated result

• A Proception employee will reach out directly to schedule additional interviews.

• A portfolio is recommended where relevant.

• Interview process: two technical interviews and one CEO interview.