Job Description
Work with cutting edge 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 Electronic Warfare, Artificial Intelligence and Machine Learning, RF sensing, Sensor Fusion and distributed systems. Working with high profile customers across militaries, government agencies, airports, critical infrastructure, law enforcement and many others.
With one of the largest listed defence company market capitalisations in Australia and having raised approximately $250m in 2026 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 a fully remote position reporting in Sydney HQ, where there are approximately 300 staff based in the 4,000sqm facility today, scheduled to grow to approximately 350 staff by end of 2026. Overseas on the ground presence includes Virginia (USA), Denmark, Germany 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
Note for recruitment agencies: we do not accept floated candidates from external recruiters unless they were instructed to do so.
With one of the largest listed defence company market capitalisations in Australia and having raised approximately $250m in 2026 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 a fully remote position reporting in Sydney HQ, where there are approximately 300 staff based in the 4,000sqm facility today, scheduled to grow to approximately 350 staff by end of 2026. Overseas on the ground presence includes Virginia (USA), Denmark, Germany 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
Note for recruitment agencies: we do not accept floated candidates from external recruiters unless they were instructed to do so.
💡 Quick Summary
Seeking a career-building opportunity? The Data Annotator (AU) position is now open for candidates interested in the Work from home Jobs sector. This role in Pyrmont offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
