Field AI
Field Application Engineer - Temporary - Part time - Cedar Rapids, IA
About this role
Field AI seeks a Field Application Engineer to support the deployment and optimization of risk-aware AI systems for robotics in real-world environments. This temporary, part-time role based in Charlotte, NC involves working with cutting-edge embodied intelligence solutions and field-deployed systems.
What you'll do
- Deploy and configure AI robotics systems in field environments
- Provide technical support and troubleshooting for deployed solutions
- Collect and document real-world performance data from field applications
- Collaborate with engineering teams to improve models based on field feedback
- Conduct on-site testing and validation of AI systems
- Train clients on system operation and best practices
What they're looking for
- Robotics systems knowledge
- AI/machine learning fundamentals
- Technical troubleshooting and diagnostics
- Field deployment experience
- Data collection and documentation
- Customer communication
- Problem-solving under real-world constraints
- Hardware and software integration
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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
- What experience do you have deploying robotics or AI systems in field environments?
- How do you approach troubleshooting complex technical issues when working on-site with clients?