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- Tasks: Pilot advanced 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 professional growth.
- Why this job: Be at the forefront of technology, contributing to innovative AI solutions that impact the future.
- Qualifications: Must have commercial drone pilot certification and experience in data collection for AI applications.
- Other info: Work with a dynamic team of AI engineers and enjoy a collaborative work culture.
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. 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. 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. 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., 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.
Drone Pilot employer: TSMG
Contact Detail:
TSMG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Drone Pilot
✨Tip Number 1
Familiarise yourself with the latest drone technologies and software used in AI applications. Being well-versed in tools like Pix4D or DroneDeploy can set you apart, as it shows your readiness to hit the ground running.
✨Tip Number 2
Network with professionals in the drone and AI fields. Attend industry events or join online forums to connect with others who work in similar roles. This can lead to valuable insights and potential referrals.
✨Tip Number 3
Showcase your experience with diverse data collection scenarios. Highlight any previous projects where you’ve operated drones in challenging conditions, as this demonstrates your adaptability and skill in real-world applications.
✨Tip Number 4
Prepare to discuss your understanding of how drone-collected data contributes to AI training. Be ready to explain the importance of data quality and how it impacts machine learning outcomes, which will show your depth of knowledge in the field.
We think you need these skills to ace Drone Pilot
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a drone pilot, especially in AI and autonomous systems. Include specific projects where you collected data for machine learning applications, and mention any certifications you hold.
Craft a Compelling Cover Letter: In your cover letter, express your passion for drone technology and AI. Discuss how your skills align with the job requirements, particularly your experience with various sensors and data collection methods. Be sure to mention your understanding of regulations and safety protocols.
Showcase Technical Skills: Detail your proficiency with flight planning software and geospatial data analysis tools in your application. Mention any experience you have with specific platforms like Pix4D or DroneDeploy, as well as your familiarity with machine learning concepts related to computer vision.
Highlight Collaboration Experience: Since the role involves working closely with AI engineers and machine learning specialists, include examples of past collaborations in your application. Emphasise your ability to work in a team and how you contributed to successful data collection and project outcomes.
How to prepare for a job interview at TSMG
✨Showcase Your Technical Skills
Be prepared to discuss your experience with various drone technologies and software. Highlight specific projects where you successfully collected data for AI applications, and be ready to explain the techniques you used for flight planning and data analysis.
✨Demonstrate Your Understanding of AI Integration
Familiarise yourself with how drone-collected data contributes to AI training. Be ready to discuss your knowledge of machine learning concepts, particularly in relation to computer vision and sensor fusion, as this will show your alignment with the role's requirements.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world conditions. Think of examples where you had to adapt your flying techniques or data collection methods due to challenging weather or environmental factors, and be ready to share these experiences.
✨Emphasise Safety and Compliance Knowledge
Since adherence to regulations is crucial, be sure to discuss your understanding of the UK Civil Aviation Authority (CAA) guidelines. Mention any relevant certifications you hold and how you ensure safe operations during your drone missions.
