Robotics Teleoperator

Welocalize; San Francisco (CA); On-site; USD 48,000 - 50,000; Full time

Job summary

Welocalize, Inc. is seeking data collection operators in San Francisco to support a robotics data collection pilot. You will teleoperate I2RT YAM robotic arms and perform human-robot interaction tasks to generate high-quality real-world data for AI model training and evaluation.

The role is onsite, 7AM-3PM, five days a week for a 6-week engagement. You must be able to stand for extended periods and be authorized to work in the U.S. Compensation is US$35-36 per hour.

Qualifications

• Bachelor's degree or equivalent work experience.
• Experience with gaming, simulation tools, or technical systems is a plus.
• Strong hand-eye coordination and spatial awareness.
• Detail oriented, reliable, and consistent in repetitive, process-driven work.
• Clear communication and teamwork; receptive to coaching and feedback.

Responsibilities

• Operate physical AI data devices, including teleoperating bimanual robotic arms to execute scripted tasks precisely, following SOPs.
• Perform human robot interaction tasks per script, including gestures and object handovers.
• Follow detailed instructions and documented SOPs, adapt to evolving guidelines, and complete hands-on training, applying it consistently.
• Coordinate closely with your station partner to maintain timing, consistency, and safety.
• Capture and validate data. Record trial status, notes, and anomalies as directed; promptly flag issues and assist with resets/retries.
• Adhere to onsite safety, privacy, and data handling protocols; provide constructive feedback to improve procedures.
• Support fast iteration cycles as tasks, tools, and priorities evolve.

Skills

Hand-eye coordination

Spatial awareness

Detail oriented

Clear communication

Teamwork

Teleoperation experience

Basic logging/spreadsheets

Education

Bachelor's degree or equivalent

Tools

Gaming/simulation tools

Job description

Overview

We're hiring data collection operators to support physical AI programs. In this role, you'll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models.

This is hands-on, execution-focused work. You'll be supporting a robotics data collection pilot using I2RT YAM bimanual robotic arms. Each station is staffed by two people, and you'll carry out assigned teleoperation and human-robot interaction tasks to help capture reliable, consistent data.

Project Details

• Location: San Francisco, CA — 100% onsite
• Schedule: 7AM-3PM, 5 days/week. Must be able to stand for extended periods during shifts
• Duration: 6-week engagement
• Start: ASAP
• Compensation: US$35-36/hour
• Work authorization: Must be authorized to work onsite in the U.S.

Key responsibilities

• Operate physical AI data devices, including teleoperating bimanual robotic arms (I2RT YAM) to execute scripted tasks precisely, following SOPs.
• Perform human robot interaction tasks per script, including gestures and object handovers.
• Follow detailed instructions and documented SOPs, adapt to evolving guidelines, and complete hands-on training, applying it consistently.
• Coordinate closely with your station partner to maintain timing, consistency, and safety.
• Capture and validate data. Record trial status, notes, and anomalies as directed; promptly flag issues and assist with resets/retries.
• Adhere to onsite safety, privacy, and data handling protocols; provide constructive feedback to improve procedures.
• Support fast iteration cycles as tasks, tools, and priorities evolve.

Qualifications

• Bachelor's degree or equivalent work experience
• Experience with gaming, simulation tools, or technical systems is a plus
• Strong hand-eye coordination and spatial awareness
• Detail oriented, reliable, and consistent in repetitive, process-driven work.
• Clear communication and teamwork; receptive to coaching and feedback.
• Prior teleoperation/robotics or lab data collection experience preferred; training provided.
• Basic computer skills for simple logging and spreadsheets.

Preferred Qualifications

• Exposure to robotics, autonomous systems, drones, or simulation environments
• Experience with teleoperation, remote control systems, or QA/testing workflows
• Familiarity with data collection, logging, or annotation processes
• Ability to quickly learn new software applications
• Interest in AI, robotics, or emerging technologies
• Experience working in structured, metrics-driven environments