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Invisible Technologies AI

AI-assisted business process outsourcing platform

Drone Systems Specialist

Data ScienceConfirmed live in the last 24 hours
ContractRemote in USANo salary listedRemote

About the Job

Requirements

  • Deep experience in drone systems, drone morphology, or related technical imaging domains to support the development of high-precision computer vision models.
  • Ability to interpret, segment, and annotate drone imagery following nuanced visual-annotation protocols applied consistently across large datasets.
  • Central requirement is the ability to isolate the core structure of a drone while excluding peripheral or transient elements.
  • Ability to crop out rotor blades that introduce undesirable motion artifacts, remove drone legs or stands that are not integral to the aerial frame, ensure antennas, payloads, and unrelated external objects are not included, and focus specifically on the drone body, the primary support arms extending from the fuselage, and the electric motors located at the arm extremities.
  • Strong visual-precision abilities 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.

Responsibilities

  • Evaluate diverse drone images and apply strict annotation standards designed to optimize downstream model performance.
  • Annotate drone imagery to isolate the core drone structure by cropping rotor blades, excluding legs/stands, antennas, payloads, and unrelated external objects, and focusing on the drone body, main arms, and motors.
  • Distinguish between structural and non-structural features across varied drone designs, lighting conditions, and environments.
  • Maintain rigorous attention to detail and apply abstract annotation guidelines consistently across edge cases in large datasets.
  • Operationalize annotation guidelines into actionable labeling practices, contributing to high-quality training data for computer vision models.

Desired Qualifications

  • Familiarity with annotation platforms, high-resolution image handling, or machine-learning dataset workflows is helpful but not strictly required.
  • Experience with drones, robotics imagery, aerial systems, or technical visual datasets is advantageous.

About the Company

Invisible Technologies AI

AI-assisted business process outsourcing platform

Invisible Technologies automates repetitive digital work by combining artificial intelligence with a global team of human agents. It offers a subscription-based BPO platform where clients get a dedicated assistant who oversees and delegates tasks, using AI to speed up work and human agents to ensure accuracy. The product works through a high-touch service model: clients subscribe, access a portal to track task progress, usage, and billing, and rely on a dedicated assistant to manage workflows. The company differentiates itself with its transparent, subscription-based approach, long-term partnerships, and the pairing of AI with a global workforce to replace traditional outsourcing and provide more predictable pricing and results. Its goal is to streamline client operations, improve efficiency, and reduce costs by delivering digital work faster, better, and cheaper through ongoing, managed automation.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$107.9M
Headquarters
New York City, New York
Founded
2015

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