Remote Drone Systems Annotation Specialist

Meridial; United States; Remote; USD 8,265 - 89,544; Part time

Job summary

Meridial is looking for a Drone Systems Specialist for a Freelance AI Trainer Project in the United States. The successful candidate will have deep experience in drone systems and will be tasked with annotating drone images for high-precision computer vision models.

Responsibilities include evaluating diverse drone images, applying strict annotation standards, and isolating core drone structures to contribute to AI training data. This remote contract position offers a pay range of $6 to $65 per hour based on expertise and location.

Qualifications

• Strong technical understanding of drone architecture.
• Experience in visual precision and consistency assessment.
• Proficiency in isolating structural components of drone imagery.

Responsibilities

• Evaluate diverse drone images for accuracy.
• Apply strict annotation standards for model performance.
• Isolate essential drone features while excluding non-structural elements.

Skills

Experience with drone systems

Attention to detail

Ability to follow visual-annotation protocols

Familiarity with annotation platforms

Job description

Drone Systems Specialist – Freelance AI Trainer Project

United States of America

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.

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.

Job title: Drone Systems Specialist – Freelance AI Trainer Project
Employment type: Contract
Workplace type: Remote

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