AI & Robotics Data Collection Engineer Intern

2 days ago

Milpitas, California, United States RoboForce Full time

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 an
AI & 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 to track tasks, metrics, and deadlines.
  • Hands‑on experience with Linux/Ubuntu, shell scripting, or Python.
  • Must be able to work onsite at our Milpitas, CA office for 20+ hours (part-time) or 40 hours (full-time) per week

Bonus Qualifications

  • Data Annotation
    : Experience using labeling tools or annotation platforms.
  • Sensor calibration
    experience.
  • ROS2 & Containerization
    : Exposure to ROS2, Docker, or cloud platforms (AWS, GCP).

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