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Talex.ai is seeking a Robotics Deployment Engineer in the United States to lead full-cycle robot deployments, from environment assessments to safety reviews. You will bridge development with real-world application, delivering hands-on installation and remote or onsite support.
You will map workflows with customer IT and Operations, calibrate cameras and LIDAR, configure ROS/ROS2, and build simple scripts for teleoperation and data capture.
Range: $80 - $120/hour , Pay Frequency: Hourly
Talex.ai empowers global experts to shape the future of human-AI collaboration. We connect multilingual and multicultural professionals with leading AI research and product teams, helping improve AI systems' communication quality, creativity, and cultural intelligence.
As a Robotics Deployment Engineer, you will manage complex customer rollouts and initial system deployments. This role bridges the gap between technical development and real-world application, involving environment assessments, workflow mapping, and remote/onsite support.
Deployment Management: Execute full-cycle robot deployment, including environment assessments and safety reviews.
Workflow Integration: Perform workflow mapping and coordinate with customer IT and Operations teams.
Technical Calibration: Lead Camera and LIDAR calibration processes.
System Configuration: Utilize ROS/ROS2 for system launch, configuration, and data bag management.
Scripting & Data: Develop simple Python or Bash scripts for teleoperation, data capture, and replay.
Mixed Support: Provide a combination of remote and onsite technical support during the rollout phase.
Background: Experience as a field engineer in robotics startups, automation system integrators, or as an FSE for robotic OEMs.
Technical Skills: Proficiency in ROS/ROS2 and scripting languages like Python or Bash.
Experience: Demonstrated success in completing full-cycle robot deployments.
Language Proficiency: Professional English for stakeholder communication and technical documentation.
Authorization: Must be legally authorized to work in the United States.
Advanced experience with system integration and factory commissioning.
Ability to lead first-batch rollouts for complex customer environments.
Deep understanding of mechatronics and industrial equipment standards.
Contribute to shaping multilingual and culturally aware AI systems.
Collaborate with a global community of experts and creators.
Flexible project-based compensation and opportunities for skill development.