Project Hydra | Humanoid Robot Teleoperator

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 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 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. 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.

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