Field Technician

BrightAI Corporation•Midland, TX

21d•Onsite

About The Position

BrightAI is a high-growth company that is looking for teammates who want to be key contributors to changing the way businesses are run. This is an incredible opportunity to complete work that is disrupting industries. Be a part of scaling a business in a hands-on role focused on the successful deployment of our AI & IoT solutions. We have the best and brightest minds in AI, IoT, Cloud and Mobile who have built leading companies in those spaces (Rivian, Amazon Alexa, SmartThings, Samsung). We are seeking a Field Technician to support the installation, deployment, and operation of IoT sensors and edge devices across oil and gas customer sites in the Midland, Texas area. In this role, you will work alongside BrightAI’s field engineering team to install and validate sensor systems on compressors, pipelines, and other industrial equipment, while also helping manage the health and connectivity of deployed edge devices running Linux-based systems. Our edge devices—Raspberry Pi and proprietary SBC/SoC boards—must stay online for extended periods of time. You will help ensure these devices are installed correctly in the field and remain operational by verifying connectivity, deploying scripts, and troubleshooting issues when they arise. This is a 4-month contract role with the possibility of full-time employment based on performance.

Requirements

1–3+ years of hands-on technical or field experience (oil & gas, industrial, electrical, or similar environments)
Comfortable working outdoors and on active industrial sites for extended periods of time
Experience using basic tools for hardware installation, mounting equipment, and running cables
Familiarity with Linux-based systems and basic system operations
Experience using SSH to access remote devices
Basic scripting experience in Python or Bash
Understanding of basic networking concepts (TCP/IP, DHCP, DNS)
Strong attention to detail and ability to follow technical installation procedures
Reliable, punctual, and able to work effectively as part of a small field team
Strong communication skills when working with both internal teams and customer personnel

Nice To Haves

Experience working in oil and gas field environments
Familiarity with Raspberry Pi or other SBC/edge computing devices
Experience with Tailscale, VPNs, or secure remote access tools
Understanding of IoT sensors or industrial monitoring systems
Basic knowledge of AWS or cloud-based logging systems
Familiarity with wiring diagrams or electrical schematics
OSHA or other relevant safety training
Experience installing equipment on compressors, pipelines, or industrial machinery

Responsibilities

Support the installation and setup of BrightAI IoT sensors and edge hardware at customer sites, including compressors, pipelines, and related oil and gas infrastructure
Work closely with BrightAI field engineers to execute deployment plans and ensure installations meet quality and safety standards
Assist with wiring, mounting, and securing sensor equipment and related components in industrial environments
Conduct system checks and basic troubleshooting to confirm devices are operating correctly after installation
Access deployed edge devices securely using SSH over Tailscale to verify connectivity and system health
Deploy and maintain operational Bash or Python scripts on devices
Run and validate scripts to ensure sensors and devices are operating correctly and delivering reliable data
Assist with Linux system maintenance including package management, service configuration, and OS updates
Help monitor deployed devices and assist with troubleshooting remote failures or connectivity issues
Verify logs and device data are being transmitted correctly to cloud storage systems such as AWS S3
Document deployment results, incidents, and troubleshooting steps for internal teams
Follow all safety protocols and site requirements while working in active industrial environments
Coordinate with field teams and customer personnel to ensure smooth on-site operations
Provide feedback to engineering teams to improve installation processes and device deployment workflows