Robotics Data Collection & Annotation — Onsite (Santa Clara, CA)
Are you a hands-on technical professional fascinated by the future of embodied AI? We are looking for a Robot Teleoperator and Data Specialist to join our lab in the Bay Area. In this role, you will be at the literal controls of humanoid robots, capturing the high-quality data necessary to train the next generation of machine intelligence.
Main Function
You will teleoperate humanoid robots and robotic arms to perform complex tasks, ensuring the captured data is meticulously labeled and meets the highest quality standards for AI training.
Project Details
- Location: 100% Onsite (Santa Clara, CA).
- Job Type: Technical Operations / Data Engineering.
- Physical Commitment: Must be able to stand in various postures with attached equipment for several hours and carry up to 50 lbs.
- Employment Type: Full-time W-2 employee with benefits – 5 days a week
- Rate: $35/hour
- Start date: May 18th
Key Responsibilities
- Teleoperation & Data Capture: Operate humanoid systems and robot arms to execute specific movements and tasks.
- Quality Assurance: Evaluate recorded videos and datasets to ensure they meet rigorous technical standards.
- Hardware Maintenance: Hands-on manipulation of robot arms, including hardware assembly and minor repairs when necessary.
- Data Annotation: Analyze video feeds to identify discrete actions, determining precise start/end timestamps and temporal boundaries.
- Labeling & Logic: Categorize objects and describe spatial relationships with extreme precision (e.g., "lower left side of the table" vs. "table").
Requirements & Technical Skills
Core Mindset:
Problem-Solving: Proactive in identifying ambiguous scenarios and escalating technical hurdles.
Communication: Strong ability to document and explain data collection decisions for complex movements.
Collaboration: A balanced approach to giving and receiving technical feedback.
Technical Proficiency:
Robotics/Mechanical: Experience building, configuring, or operating humanoid robots (auto-mechanic experience is also highly valued).
Software Ecosystem: Familiarity with
Windows, Ubuntu, VSCode, and Basic Git (checking out branches/pulling).
Hardware Setup: Proficiency in mounting cameras, connecting trackers, and troubleshooting device connectivity.
Python & Logs: Basic Python competency (specifically reading error messages) and the ability to parse system logs to identify relevant info.
Annotation & Reasoning:
Linguistic Precision: Strong English vocabulary for describing actions (e.g.,
push, pull, fold, place).
Spatial Reasoning: Advanced spatial awareness to understand how body movements affect camera angles and data quality.
VLM Experience: Previous experience annotating Vision Language Models (VLM) is a major plus.
Education
BS/BA (or higher): Mechanical Engineering, Electrical Engineering, Computer Science, or a related technical degree.
