Field Application Engineer - Temporary - Part Time - St Louis, MO

FieldAI; St. Louis (MO); On-site; USD 27,552 - 34,440; Part time

Job summary

FieldAI seeks a proactive Field Application Engineer to support deployment, testing, and client-facing operations of robotic systems including drones, quadrupeds, and humanoid robots. This role is ideal for recent graduates who thrive in technical and operational environments and are ready to travel to project sites around the U.S.

You will be based in St Louis, MO but must be prepared for regular travel. A passport and REAL ID are preferred for travel and site access.

Qualifications

• Bachelor's degree in a technical field is required.
• Strong communication and presentation skills.
• Willingness to travel across the U.S.
• Passport and REAL ID preferred for travel.

Responsibilities

• Deploy and operate robotic systems in the field and support testing.
• Supervise remote operations and assist during client presentations and demos.
• Facilitate clear communication between engineers and non-technical stakeholders.
• Document technical issues, test results and client feedback in detail.
• Troubleshoot hardware and software issues and contribute to workflow improvements.
• Collaborate with cross-functional teams to iterate on system performance.

Skills

Communication skills

Willingness to travel

Education

Bachelor's degree in CS/Robotics/EE/Mechatronics

Tools

Python

C++

Job description

Job Title: Field Application Engineer

Location: St Louis, MO - Frequent Nationwide Travel Required

Job Type: Part-time, 20 hours + per week,

Prefer Local Candidates

Who are We?

Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Learn more at https://fieldai.com.

$20 - $25 an hour

About the Job

We are looking for a proactive and tech-savvy Field Application Engineer to support the deployment, testing, and client-facing operations of our cutting-edge robotic systems—including drones, quadrupeds, and humanoid robots. This role is ideal for recent graduates who thrive in both technical and operational environments and are ready to travel to project sites around the U.S.

You will be based out of our St Louis, MO location but must be prepared for regular travel. An up-to-date passport and REAL ID (or equivalent documentation) are preferred and may be required for travel and site access.

What You’ll Get To Do:

• Deploy and operate robotic systems in the field, support testing and data collection.
• Supervise remote operations and assist during client presentations and demos.
• Facilitate smooth, clear communication between engineers and non-technical stakeholders.
• Document technical issues, test results, and client feedback in detail.
• Troubleshoot hardware and software issues and contribute to continuous workflow improvement.
• Collaborate with cross-functional teams to iterate on system performance and usability.

What You Have:

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Mechatronics, or a related technical field.
• Strong communication skills—able to translate complex technical topics for various audiences.
• Willingness to travel frequently across the country.
• Up-to-date passport and valid REAL ID (or equivalent travel documentation) is preferred.
• Excellent organizational skills and the ability to work well in team-based environments.

The Extras That Set You Apart:

• Hands-on experience with robotics hardware (drones, quadrupeds, humanoids, or similar).
• Familiarity with basic electronics, sensors, and robotic subsystems.
• Basic coding/scripting skills (Python, C++, or similar).
• Prior experience in field testing, remote operations, or client-facing tech roles is a plus.

Compensation

The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.

Field AI Onsite Work Philosophy

At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.

We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.