Data Annotator (AU)
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Work with cutting edge AI technology, making the world a safer and more secure place. DroneShield (ASX:DRO) offers an opportunity to solve some of world’s most challenging technical problems in the rapidly growing counterdrone sector. Our customers are militaries, government agencies, airports, critical infrastructure, law enforcement and many others.
With one of the largest listed defence company market capitalisations in Australia, part of the ASX200 index, and having raised approximately $250m in 2024 alone, DroneShield is undergoing hypergrowth stage, fuelled by rapidly increasing use of drones for nefarious applications, from battlefield, to terrorism, to contraband delivery and commercial espionage.
This role is in the DroneShield Sydney headquarters in Sydney CBD. There are approximately 380 staff based in the 4,000sqm facility today, scheduled to grow to approximately 500 staff by end of 2026. Overseas on the ground presence includes Virginia (USA), Netherlands, Denmark, Mexico and Dubai, as well as distributors in over 70 countries globally.
About the role
DroneShield is seeking an individual with a keen eye for detail to join the team in Sydney, NSW as a Data Annotator.
As a Data Annotator, you will be part of the Data Processing team, supporting the Algorithms and AI Teams within DroneShield in enhancing the accuracy and performance of our systems. Your primary role will involve meticulously annotating and labelling data, which is crucial for training our AI models. This process enables us to refine our algorithms, fill system gaps proactively, and ultimately provide top-tier solutions to our clients. Your contribution will be pivotal in upholding the quality and effectiveness of our drone technology solutions.
Responsibilities, Duties and Expectations
- Data Annotation: Accurately label and annotate data sets, ensuring the quality and precision required for training AI models
- Data Quality Assurance: Review and verify the annotations to maintain high-quality data standards
- Collaboration: Work closely with the Data Engineering and AI teams to understand the requirements and nuances of the data needed
- Data Documentation: Ensure systematic documentation of annotated data, understanding its significance and usage
Qualifications, Experience, and Skills
- Demonstrated ability to focus on detailed tasks for extended periods
- Strong organizational skills and meticulous attention to detail
- Proficiency in graph comprehension, facilitating informed decision-making
- Comfort with repetitive tasks and a passion for data accuracy
- Basic knowledge of database management and data documentation desirable but not essential
- Experience with data labelling tools is an advantage
- SQL experience is desirable but not essential
- Familiarity with drones or related technology is desirable but not essential