Drone Systems Specialist – Freelance AI Trainer Project
About The Position
We are seeking a highly skilled specialist with deep experience in drone systems, drone morphology, or related technical imaging domains to support the development of high-precision computer vision models. This opportunity focuses on the careful interpretation, segmentation, and annotation of drone imagery, with an emphasis on isolating structurally meaningful components of a wide range of unmanned aerial vehicles. On a typical day, you will evaluate diverse drone images and apply strict annotation standards designed to optimize downstream model performance. A central requirement is the ability to isolate the core structure of a drone while excluding peripheral or transient elements. This includes cropping out rotor blades that introduce undesirable motion artifacts, removing drone legs or stands that are not integral to the aerial frame, ensuring antennas, payloads, and unrelated external objects are not included, and focusing specifically on the drone body, the primary support arms extending from the fuselage, and the electric motors located at the arm extremities. A subtle but essential part of this role is learning to distinguish between structural and non-structural features, especially across varied drone designs, lighting conditions, and environments. Candidates should bring a high level of visual precision and the ability to assess consistency across large image corpora. Experience with professional or academic work involving drones, robotics imagery, aerial systems, or technical visual datasets is strongly advantageous. Familiarity with annotation platforms, high-resolution image handling, or machine-learning dataset workflows is helpful, though not strictly required; what matters most is a rigorous attention to detail, an ability to operationalize abstract guidelines, and the discipline to apply them without drift as edge cases appear. If you are motivated by the challenge of transforming complex visual information into structured, high-quality training data—and you take pride in precision, clarity, and conceptual rigor—this opportunity offers the chance to directly shape how advanced AI interprets drone architecture.
Requirements
- Strong technical understanding of drone architecture
- Ability to follow nuanced visual-annotation protocols applied consistently across large datasets
- Ability to isolate the core structure of a drone while excluding peripheral or transient elements
- High level of visual precision
- Ability to assess consistency across large image corpora
- Rigorous attention to detail
- Ability to operationalize abstract guidelines
- Discipline to apply guidelines without drift as edge cases appear
Nice To Haves
- Experience with professional or academic work involving drones, robotics imagery, aerial systems, or technical visual datasets
- Familiarity with annotation platforms
- Familiarity with high-resolution image handling
- Familiarity with machine-learning dataset workflows
Responsibilities
- Careful interpretation, segmentation, and annotation of drone imagery
- Isolating structurally meaningful components of a wide range of unmanned aerial vehicles
- Evaluate diverse drone images and apply strict annotation standards designed to optimize downstream model performance
- Isolate the core structure of a drone while excluding peripheral or transient elements
- Distinguish between structural and non-structural features across varied drone designs, lighting conditions, and environments
- Assess consistency across large image corpora
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Education Level
No Education Listed
Number of Employees
251-500 employees
