AI & Robotics Data Collection Engineer
Posted on 9/3/2025

RoboForce
No salary listed
Milpitas, CA, USA
In Person
We are looking for anAI & Robotics Data Collection Engineer Intern (Full-Time or Part-Time)to handle daily robot data‑gathering operations and manage the complete data labeling pipeline—from raw capture to annotated, model‑ready datasets.
Location & Schedule:
- On-site in Milpitas, CA
- Hours per week: 20–40
- September through December 2025
Responsibilities
- Robot Operation & Data Capture – Run humanoid robots in customer scenarios, tele‑operate when needed, and ensure high‑quality data collection.
- Sensor setup: Setup and calibrate the sensors (cameras, lidars, etc) for data collection.
- Data quality QA: QA data labels from vendors to ensure the data quality. Define the quality criteria. Develop tools to improve QA efficiency.
- Issue Identification: Spot bugs or issues as they arise, promptly communicate them to the right engineering teams, and confirm resolutions.
- Safety & Maintenance: Maintain a safe environment for both the operator and the robot. Follow proper bring-up and shutdown procedures, including routine equipment checks.
Requirements
-
Currently pursuing or recently graduated with a Bachelor’s (or higher) in Computer Science, Data Science, or Engineering (or related field).
- Strong organizational skills totrack tasks, metrics, and deadlines.
- Hands‑on experience withLinux/Ubuntu, shell scripting, or Python.
- Must be able to workonsiteat ourMilpitas, CA officefor20+ hours(part-time) or40 hours(full-time) per week
Nice to Have
- Data Annotation: Experience using labeling tools or annotation platforms.
- Sensor calibrationexperience.
- ROS2 & Containerization: Exposure to ROS2, Docker, or cloud platforms (AWS, GCP).
Why RoboForce
RoboForce is a world‑leading startup building the most advanced RoboLabor system. Our team includes veterans from Amazon Robotics, Tesla, Google, Waymo, Apple, CMU, and more, backed by renowned investors. Join us to shape the future of humanoid robotics while working in a collaborative, high‑impact environment.

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