Field AI
Field Application Engineer - Temporary (Part-time) Burlington, TX
About this role
Field AI seeks a part-time Field Application Engineer based in Burlington, TX to support the deployment and optimization of AI-powered robotics systems across the United States. This role involves frequent nationwide travel to work directly with customers, troubleshoot systems, and gather real-world feedback to improve field-ready AI solutions.
What you'll do
- Deploy and configure AI robotics systems at customer sites nationwide
- Troubleshoot technical issues and provide on-site customer support
- Collect real-world performance data and customer feedback
- Conduct system demonstrations and training for end users
- Document field observations to inform product improvements
- Coordinate with engineering teams on deployment challenges
What they're looking for
- Robotics systems knowledge
- AI/ML fundamentals
- Troubleshooting and problem-solving
- Customer communication and support
- Technical documentation
- Field testing and data collection
- Travel flexibility and adaptability
- Systems integration basics
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Field AI
Field AI develops embodied AI and autonomous robotics systems for real-world deployment in industrial environments like oil & gas and mining. The company is hiring software engineers to build web-based systems, perception and validation pipelines, test infrastructure, ROS-based robotic software, and customer-facing products that integrate AI with field-deployed hardware.
View all jobs at Field AILikely interview questions
- Can you describe your experience working with robotics or AI systems in production environments?
- How have you handled troubleshooting complex technical issues in the field with limited resources?