At a Glance
- Tasks: Pilot drones to collect data for AI training in real-world environments.
- Company: Join a cutting-edge tech company focused on AI and autonomous systems.
- Benefits: Enjoy flexible working hours, hands-on experience, and opportunities for growth.
- Why this job: Be at the forefront of AI technology while working with innovative teams.
- Qualifications: Must have commercial drone pilot certification and experience with advanced sensors.
- Other info: Work in diverse conditions and collaborate with experts in AI and machine learning.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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 (e.g., 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 the UK Civil Aviation Authority (CAA) 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 (CAA 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 (e.g., 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.
We would be happy to get to know you and your skills better and see how we can support each other\’s growth.
Please apply and let\\\’s meet!
#J-18808-Ljbffr
Contact Detail:
Terry Soot MG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Drone Pilot for AI Training and Data Collection
✨Tip Number 1
Familiarise yourself with the latest drone technologies and sensors relevant to AI training. Understanding how LiDAR, thermal imaging, and other advanced sensors work will give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the AI and drone piloting fields. Attend industry events or join online forums to connect with others who can provide insights or even referrals for opportunities at StudySmarter.
✨Tip Number 3
Showcase your practical experience by preparing examples of past drone missions where you collected data for AI applications. Be ready to discuss specific challenges you faced and how you overcame them.
✨Tip Number 4
Stay updated on UK Civil Aviation Authority regulations and best practices for drone operations. Demonstrating your knowledge of compliance will reassure us of your commitment to safety and professionalism.
We think you need these skills to ace Drone Pilot for AI Training and Data Collection
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a drone pilot, especially in AI training and data collection. Include specific examples of projects where you operated advanced drones and collected data for AI applications.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for drone technology and AI. Mention your understanding of the role's responsibilities and how your skills align with the company's needs, particularly in computer vision and autonomous navigation.
Showcase Relevant Certifications: List any commercial drone pilot certifications and additional qualifications related to safety or advanced drone technologies. Highlight your expertise in using various sensors and software for flight planning and data analysis.
Demonstrate Collaboration Skills: In your application, emphasise your ability to work in multidisciplinary teams. Provide examples of past collaborations with AI engineers or machine learning specialists, showcasing your communication skills and teamwork.
How to prepare for a job interview at Terry Soot MG
✨Showcase Your Technical Skills
Be prepared to discuss your experience with various drone technologies and sensors. Highlight specific projects where you've collected data for AI applications, and be ready to explain how you ensured data quality and compliance with regulations.
✨Demonstrate Problem-Solving Abilities
Expect questions about how you've handled challenges in the field, such as adverse weather conditions or technical malfunctions. Share examples that illustrate your ability to think on your feet and adapt to changing circumstances.
✨Familiarise Yourself with AI Concepts
Brush up on your knowledge of machine learning and computer vision, especially how they relate to drone-collected data. Be ready to discuss how your work contributes to training AI models and improving autonomous systems.
✨Prepare for Team Collaboration Questions
Since you'll be working closely with AI engineers and other specialists, be ready to talk about your teamwork experiences. Highlight instances where you've successfully collaborated on projects, focusing on communication and shared goals.