Humanoid Robot Teleoperator

Welo Data; Santa Clara (CA); On-site; USD 39,778 - 56,653; Full time

Job summary

Welo Data is seeking a Robot Teleoperator and Data Specialist in Santa Clara, CA. In this full-time onsite role, you will operate humanoid robots and robotic arms, ensuring data quality, performing quality assurance, and analyzing video feeds. Candidates should have a BS/BA in a technical field and experience with robotics, alongside strong problem-solving and communication skills. The position offers a rate of $35/hour, starting May 18th.

Qualifications

• Hands-on experience with humanoid robots or auto-mechanic work.
• Basic Python competency and system log analysis.
• Strong English vocabulary for task description.

Responsibilities

• Teleoperating humanoid robots to perform complex tasks.
• Evaluating recorded videos to ensure data quality standards.
• Conducting hardware maintenance and minor repairs as needed.
• Analyzing video feeds and performing precise data annotation.
• Categorizing objects and documenting spatial relationships.

Skills

Problem-Solving

Communication

Collaboration

Robotics/Mechanical

Python

Spatial Reasoning

Linguistic Precision

Education

BS/BA in Mechanical Engineering, Electrical Engineering, Computer Science, or related technical degree

Tools

Windows

Ubuntu

VSCode

Basic Git

Job description

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.

Join the Lab

This is a unique opportunity to work at the intersection of hardware and AI. If you have the physical stamina and technical rigors to shape the future of robotics, we want to hear from you.