Summary
Welo Global is seeking a Robot Teleoperator and Data Specialist to join their lab in the Bay Area. In this role, you will teleoperate humanoid robots and robotic arms to perform complex tasks, ensuring high-quality data capture for AI training.
Responsibilities
- Operate humanoid systems and robot arms to execute specific movements and tasks
- Evaluate recorded videos and datasets to ensure they meet rigorous technical standards
- Hands-on manipulation of robot arms, including hardware assembly and minor repairs when necessary
- Analyze video feeds to identify discrete actions, determining precise start/end timestamps and temporal boundaries
- Categorize objects and describe spatial relationships with extreme precision (e.g., "lower left side of the table" vs. "table")
Skills
- Must be able to stand in various postures with attached equipment for several hours and carry up to 50 lbs
- Experience building, configuring, or operating humanoid robots (auto-mechanic experience is also highly valued)
- Familiarity with Windows, Ubuntu, VSCode, and Basic Git (checking out branches/pulling)
- Proficiency in mounting cameras, connecting trackers, and troubleshooting device connectivity
- Basic Python competency (specifically reading error messages) and the ability to parse system logs to identify relevant info
- Strong English vocabulary for describing actions (e.g., push, pull, fold, place)
- Advanced spatial awareness to understand how body movements affect camera angles and data quality
- BS/BA (or higher) in Mechanical Engineering, Electrical Engineering, Computer Science, or a related technical degree
- Previous experience annotating Vision Language Models (VLM) is a major plus
Qualifications
Must Haves
- Must be able to stand in various postures with attached equipment for several hours and carry up to 50 lbs
- Experience building, configuring, or operating humanoid robots (auto-mechanic experience is also highly valued)
- Familiarity with Windows, Ubuntu, VSCode, and Basic Git (checking out branches/pulling)
- Proficiency in mounting cameras, connecting trackers, and troubleshooting device connectivity
- Basic Python competency (specifically reading error messages) and the ability to parse system logs to identify relevant info
- Strong English vocabulary for describing actions (e.g., push, pull, fold, place)
- Advanced spatial awareness to understand how body movements affect camera angles and data quality
- BS/BA (or higher) in Mechanical Engineering, Electrical Engineering, Computer Science, or a related technical degree
Nice to Haves
- Previous experience annotating Vision Language Models (VLM) is a major plus
Benefits
- Full-time W-2 employee with benefits