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- Tasks: Pilot advanced drones to collect data for AI training in real-world environments.
- Company: Join a cutting-edge team focused on AI and autonomous systems development.
- Benefits: Gain hands-on experience with advanced technology and collaborate with experts in the field.
- Why this job: Be at the forefront of AI innovation while working in diverse environments and scenarios.
- Qualifications: Must have commercial drone pilot certification and experience with advanced sensors.
- Other info: Opportunity to work with multidisciplinary teams and contribute to groundbreaking AI projects.
The predicted salary is between 36000 - 60000 £ per year.
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.
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Drone Pilot for AI Training and Data Collection employer: Terry Soot MG
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
Make sure to showcase your hands-on experience with advanced drones and sensors in your conversations. Highlight specific projects where you successfully collected data for AI applications, as this will demonstrate your practical skills and relevance to the role.
✨Tip Number 2
Familiarize yourself with the latest trends in AI and autonomous systems. Being able to discuss how drone-collected data impacts AI training will set you apart and show that you're not just a pilot, but also an informed contributor to the AI development process.
✨Tip Number 3
Network with professionals in the AI and drone piloting communities. Attend relevant workshops or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights and help you stand out during the application process.
✨Tip Number 4
Prepare to discuss your familiarity with flight planning software and geospatial data analysis tools. Being able to articulate your proficiency in these areas will demonstrate your technical capabilities and readiness to contribute effectively from day one.
We think you need these skills to ace Drone Pilot for AI Training and Data Collection
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience as a drone pilot, particularly in collecting data for AI applications. Mention specific projects where you operated advanced drones and the types of sensors you used.
Showcase Technical Skills: Detail your expertise with various drone technologies and software, such as flight planning tools like Pix4D or DroneDeploy. Highlight any certifications you hold, especially those related to safety and advanced drone operations.
Demonstrate Understanding of AI Workflows: Illustrate your familiarity with machine learning concepts and how drone-collected data contributes to AI training. Discuss your knowledge of computer vision, sensor integration, and real-time data processing.
Communicate Collaboration Skills: Since the role involves working closely with AI engineers and multidisciplinary teams, emphasize your communication and collaboration skills. Provide examples of past teamwork experiences that showcase your ability to work effectively in a group.
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 successfully collected data for AI applications, emphasizing your familiarity with LiDAR, thermal cameras, and other advanced equipment.
✨Demonstrate Your Problem-Solving Abilities
Expect questions about how you've handled challenging flight conditions or technical issues in the past. Share examples that showcase your ability to adapt and troubleshoot during complex missions, as this is crucial for ensuring data quality.
✨Understand AI and Machine Learning Concepts
Familiarize yourself with how drone-collected data contributes to AI training. Be ready to discuss concepts like object detection, navigation, and decision-making, and how your work as a drone pilot supports these areas.
✨Emphasize Collaboration Skills
Since you'll be working closely with AI engineers and machine learning specialists, highlight your teamwork experiences. Share examples of successful collaborations and how you ensured that data collection met the specific needs of AI model training.
