Safety Intern

PHI Health • Phoenix, AZ

6d • Onsite

About The Position

Intern, Safety (HSEQ) Join Our Life-Saving Team! Are you ready to elevate your career to new heights? PHI Health is looking for dynamic, driven individuals to join our team. We are committed to providing top-tier emergency medical services with unmatched speed and efficiency, saving lives when every second counts. By supporting our mission from the ground, you will play a crucial role in orchestrating the seamless operations that keep our advanced fleet soaring and our patients safe. With PHI Health you’ll collaborate with the best minds in the industry, driving initiatives that enhance our services and expand our reach to those who need it most. If you're passionate about making a difference and thrive on challenges, PHI Health offers an extraordinary opportunity to impact lives and develop your professional career in a meaningful way. Who We Are: PHI Health is the leading air ambulance provider in the United States. With an unmatched safety record and the best aviation, medical and communication specialists in the field, we set the standard in the air medical industry. We transport more than 22,000 patients each year from our more than 80 bases across the country, all while offering services and outreach education to local communities and leading healthcare systems. Our mission is simple: move communities to health while maintaining the highest standard of safety, period. Position Overview: Reporting to the Manager, Aviation Safety, the Intern, Safety (HSEQ) assists the Safety department with AI initiatives, model builds and testing, and other departmental projects. This role provides hands-on experience in applying AI to real-world aviation challenges, offering professional development opportunities such as mentorship from safety experts and exposure to industry tools. Job Summary: Design and implement AI algorithms for video analysis, such as object detection for crew actions or segmentation for flight phases. Review and preprocess LOSA video data and FDM logs to identify key features for AI model training. Perform model validation, including accuracy testing and bias assessments, in line with aviation AI safety protocols. Document findings in technical reports and present prototypes during bi-weekly team meetings. Assist in pilot testing of AI tools within the safety program, gathering feedback for iterative improvements. Other duties as assigned.

Requirements

• High school diploma or equivalent required
• Enrollment in relevant graduate program (Computer Science, Data Science, Aerospace Engineering, etc.
• Proficiency in Python programming and AI frameworks (e.g. TensorFlow, PyTorch, OpenCV for computer vision, or equivalent).
• Foundational knowledge of machine learning techniques, including supervised/unsupervised models for anomaly detection and time-series analysis.
• Strong analytical skills, attention to detail, and ability to handle sensitive data confidentially.
• Excellent communication skills for technical reporting and cross-functional collaboration.

Nice To Haves

• Familiarity with aviation safety concepts (e.g. FDM, LOSA, or SMS) preferred, introductory exposure via coursework or projects acceptable.

Responsibilities

• Design and implement AI algorithms for video analysis, such as object detection for crew actions or segmentation for flight phases.
• Review and preprocess LOSA video data and FDM logs to identify key features for AI model training.
• Perform model validation, including accuracy testing and bias assessments, in line with aviation AI safety protocols.
• Document findings in technical reports and present prototypes during bi-weekly team meetings.
• Assist in pilot testing of AI tools within the safety program, gathering feedback for iterative improvements.
• Other duties as assigned.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: High school or GED