Drone Pilot for AI Training and Data Collection

TSMG Holding; Emeryville (CA); On-site; USD 70,000 - 90,000; Full time

Job summary

TSMG Holding in Emeryville, California is seeking an experienced Drone Pilot to assist in the development and training of AI models. The role involves piloting advanced drones to collect high-quality data essential for AI development in autonomous navigation and computer vision.

The ideal candidate will have commercial drone pilot certification and significant experience in data collection, particularly for AI applications.

Qualifications

• FAA Part 107 or equivalent certification is mandatory.
• Significant experience as a drone pilot in AI or industrial settings.
• Ability to operate drones equipped with LiDAR and thermal cameras.

Responsibilities

• Pilot drones to collect datasets crucial for AI training.
• Collaborate with AI teams to align data collection with model requirements.
• Ensure compliance with FAA regulations during drone operations.

Skills

Commercial drone pilot certification

Experience in data collection for AI

Expertise with advanced sensors

Familiarity with autonomous flight

Knowledge of geospatial data processing

Tools

Pix4D

DroneDeploy

Job description

We are seeking an experienced and highly skilled Drone Pilot to assist in the development and training of AI models, specifically in the areas of computer vision, sensor fusion, and autonomous navigation. The ideal candidate will be responsible for collecting high-quality data in real-world environments, contributing to the optimization of AI algorithms that power autonomous systems.

As a Drone Pilot for AI & Autonomous Systems Training, you will operate advanced drones to capture data essential for training and validating AI models that power autonomous navigation, object detection, and decision-making systems.

Key Responsibilities

• Pilot drones equipped with high-resolution cameras, LiDAR, thermal imaging, and other sensors to collect diverse datasets used for training AI algorithms, particularly for autonomous navigation, computer vision, and sensor fusion.
• Capture data in various real-world conditions (urban, rural, industrial, challenging weather conditions) to expose AI systems to a wide range of environments and scenarios.
• Execute complex drone missions with precise data collection objectives, such as aerial mapping, 3D reconstruction, obstacle detection, and object tracking.
• Collaborate closely with AI engineers, machine learning specialists, and autonomous systems teams to ensure data collection aligns with the specific requirements of AI model training.
• Perform post-flight data quality checks and initial preprocessing to ensure the datasets are ready for use in training AI models.
• Operate drones in both manual and autonomous modes, supporting AI-driven flight operations where drones rely on onboard algorithms for navigation and decision-making.
• Adhere to Federal Aviation Administration (FAA) and local aviation regulations governing drone operations, ensuring the safe and compliant conduct of all drone missions.
• Oversee the maintenance, calibration, and troubleshooting of drones and onboard sensors to ensure the highest standards of performance and reliability.

Qualifications

• Commercial drone pilot certification (FAA Part 107 or equivalent), with additional certifications in safety or advanced drone technologies considered a plus.
• Proven track record as a drone pilot, with significant experience in collecting data for industrial, research, or AI-focused applications.
• Expertise in flying drones equipped with advanced sensors such as LiDAR, thermal cameras, RGB cameras, and multispectral sensors.
• Familiarity with the nuances of autonomous flight, sensor integration, and machine learning workflows, especially those that involve real-time data processing.
• Strong understanding of how drone-collected data is used for AI training, including its role in training AI for perception, navigation, and decision-making.
• Experience in using software for flight planning, such as Pix4D, DroneDeploy, or similar platforms, and geospatial data analysis tools.
• Familiarity with machine learning concepts, especially those related to computer vision (image segmentation, object detection, and tracking) and autonomous navigation systems.
• Basic understanding of geospatial data processing, photogrammetry, and 3D reconstruction techniques for AI applications.
• Strong attention to detail with a commitment to ensuring the highest quality of data collection and analysis.
• Excellent communication and collaboration skills, with the ability to work in multidisciplinary teams.