Field Application Engineer – Temporary – Part time – Houston, TX

Join Field-ai as a Field Application Engineer in Houston, TX for a temporary, part-time position. You'll contribute to developing and validating intelligent robotic systems designed for real-world deployment and field operation.

What This Role Involves

As a Field Application Engineer, you'll bridge the gap between robotics development and practical field deployment. In this temporary part-time role, you'll conduct hands-on testing, troubleshooting, and performance validation of AI-powered robotic systems in real-world environments. Your work will directly support the continuous improvement of dependable, risk-aware AI solutions that address complex challenges in embodied intelligence and robotics applications.

Key Responsibilities

• Perform field testing and evaluation of robotic systems in operational environments
• Collect and document performance data to identify improvements and validate AI system behavior
• Troubleshoot technical issues and provide feedback to development teams
• Support deployment and setup of robotics equipment at field locations
• Communicate findings and observations to cross-functional engineering teams
• Ensure data quality and accuracy for model refinement and real-field application improvements

Qualifications

• Bachelor's degree in Engineering, Robotics, Computer Science, or related technical field
• Hands-on experience with robotics systems, sensors, or embedded systems
• Strong troubleshooting and problem-solving abilities
• Excellent written and verbal communication skills
• Ability to work independently and document findings clearly
• Flexibility to adapt to field environments and temporary assignments
• Willingness to travel as required for field testing activities

About Field-ai

Field-ai is pioneering the next generation of robotic systems by developing AI solutions that operate reliably in real-world conditions. The company creates dependable, risk-conscious AI architectures that tackle demanding challenges in robotics and embodied intelligence—moving beyond conventional data-driven methods to deliver globally-deployed systems producing measurable results. Field-ai continuously enhances its models through live field applications and real-world validation, ensuring its technology meets the needs of complex, real-world robotics deployment.

Applying for This Role

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