10 days ago

Drone Systems Specialist, AI Trainer

Meridial Marketplace, by Invisible

Hybrid
Contractor
$114,400
Hybrid

Job Overview

Job TitleDrone Systems Specialist, AI Trainer
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$114,400
LocationHybrid

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Job Description

About the Role: Drone Systems Specialist, AI Trainer

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. The ideal candidate combines a strong technical understanding of drone architecture with an ability to follow nuanced visual-annotation protocols applied consistently across large datasets.

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.

Compensation and Work Arrangement

We offer a pay range of $6 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary. As a contractor, you will supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.

Key skills/competency

  • Drone Systems
  • Computer Vision
  • Image Annotation
  • Data Segmentation
  • UAV Architecture
  • Technical Imaging
  • Machine Learning Datasets
  • Visual Precision
  • Attention to Detail
  • Robotics Imagery

Tags:

Drone Systems Specialist
Computer Vision
Image Annotation
UAV
Robotics
AI Training
Data Segmentation
Technical Imaging
Machine Learning
Annotation Tools
Visual Precision
Remote Sensing
Dataset Management
AI Models

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How to Get Hired at Meridial Marketplace, by Invisible

  • Research Invisible.ai's mission: Study their vision for AI and how Meridial Marketplace contributes, by exploring their website and LinkedIn.
  • Tailor your resume: Highlight specific experience with drone systems, computer vision, image annotation, or robotics imagery for this specialized role.
  • Showcase visual precision skills: Prepare examples or discuss projects demonstrating meticulous attention to detail in image analysis and data segmentation.
  • Prepare for technical discussions: Be ready to articulate your understanding of drone morphology, computer vision models, and data labeling protocols relevant to UAVs.
  • Emphasize consistency and rigor: During interviews, provide instances where you've applied complex guidelines consistently across large datasets, crucial for AI training.

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