AI and Robotics Data Collection Engineer Intern
Data Labeling, Robotics Operations
Posted on 11/4/2025

RoboForce
No salary listed
Milpitas, CA, USA
In Person
Why RoboForce
RoboForce is an AI robotics company building Physical AI and Robo-Labor system for dull, dirty, and dangerous work. Our flagship robot, TITAN, is a super humanoid robot designed for industrial environments. We are based in Milpitas, CA and require 5 days/week in-office collaboration.
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
- November 2025 through January 2026
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
Bonus Qualifications
- Data Annotation: Experience using labeling tools or annotation platforms.
- Sensor calibrationexperience.
- ROS2 & Containerization: Exposure to ROS2, Docker, or cloud platforms (AWS, GCP).
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