Drimva

Figure AI

Technical Coordinator, Data Creators (CDMX)

$30K–$40K

Mexico City +1 · Full-time · Posted Aug 4, 2026

Location
Mexico City
San Jose, California, United States
Experience
2+ years of hands-on equipment maintenance, troubleshooting, or repair.
Education
Technical training or university degree in electronics, mechatronics, electrical engineering, or a related field is preferred; no required education stated.

About the job

Maintains the capture hardware and technical operations of Figure’s Mexico City data unit, supporting reliable equipment use and data capture for humanoid-robot AI systems.

What you'll do

  • Receive, inventory, deploy, assemble, calibrate, troubleshoot, and maintain capture equipment and stations; develop inventory and preventive-maintenance systems.
  • Provide first-line technical support, document and escalate issues to U.S. engineering teams, and coordinate repairs, RMAs, and spare parts.
  • Coach Data Creators on equipment use and capture technique; maintain technical SOPs and help train future technicians.

What they ask for

  • 2+ years of hands-on maintenance, troubleshooting, or repair of electronic or electromechanical equipment, with demonstrated end-to-end ownership of a technical process or system.
  • Systematic troubleshooting across hardware, wiring, firmware, and software; familiarity with bench tools, multimeters, connectors, firmware flashing, and basic networking.
  • Strong documentation skills and ability to support nontechnical operators.
  • Professional English and flexibility to occasionally support other shifts in a 24/7 operation.

Nice to have

  • Technical training or university degree in electronics, mechatronics, electrical engineering, or a related field.
  • Experience with VR/AR headsets, motion capture, robotics, drones, RMA processes, inventory or maintenance systems, soldering, or fabrication.

Pay

$30,000 MXN a $40,000 MXN (base salary)

Tools

multimeter, firmware, software, networks, VR/AR, motion capture, CMMS, 3D printing

AI focus

Supports capture and quality of data used to train the company’s AI systems; no direct AI development work is stated.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)