Robotics Teleoperator for Data Collection

Welo Global; San Francisco (CA); On-site; USD 42,000 - 68,000; Full time

Job summary

Welo Global is seeking teleoperators to support robotics and AI data collection. You will operate robotic systems via teleoperation tools to generate high-quality real-world data for AI model training and evaluation.

Work involves hands-on interaction with hardware in structured environments, following defined scenarios, and collaborating with onsite engineering and QA teams to improve workflows and data quality.

Qualifications

• High school diploma or equivalent; Bachelor’s preferred but not required.
• Experience with gaming, simulation tools, or technical systems is a plus.
• Strong hand-eye coordination and spatial awareness.
• Comfortable using controllers, keyboards, or specialized interfaces for extended periods.
• Ability to follow detailed procedures with high accuracy.
• Clear written and verbal communication skills.

Responsibilities

• Operate robots using teleoperation systems, controllers, or software interfaces.
• Execute structured tasks (e.g., navigation, pick/place, object interaction) across environments.
• Follow detailed instructions and adapt to evolving guidelines.
• Capture and validate data (video, sensor inputs, task logs) during operation.
• Identify and flag edge cases, failures, or unexpected robot behavior.
• Maintain consistency and accuracy across repeated task runs.
• Partner with onsite teams to improve workflows.
• Support fast iteration cycles as tasks, tools, and priorities evolve.

Skills

Hand-eye coordination

Spatial awareness

Attention to detail

Following procedures

Communication

Education

High school diploma or equivalent

Bachelor’s preferred

Tools

Teleoperation systems

Guided interfaces

Job description

Welo Global is seeking teleoperators to support robotics and AI data collection. You will operate robotic systems via teleoperation tools to generate high-quality real-world data for AI model training and evaluation.

Work involves hands-on interaction with hardware in structured environments, following defined scenarios, and collaborating with onsite engineering and QA teams to improve workflows and data quality.