Remote Drone & Maritime Imagery Labeler

Executive Staff Recruiters / ESR Healthcare

United States

Remote

USD 41,000 - 83,000

Part time

2 days ago
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Job summary

Executive Staff Recruiters / ESR Healthcare seeks an Imagery Analyst to review and correct object labels on drone and maritime imagery. This contractor role allows part-time or full-time schedules, remote from the United States, with pay per image and CAC security requirements.

Responsibilities include correcting bounding boxes, labeling missed objects, and applying guidelines consistently. The work is precise, repetitive, and may evolve to video frame annotation as the project grows.

Qualifications

  • U.S. citizenship and an active DoD CAC are required.
  • Strong attention to detail and endurance for repetitive tasks.
  • Experience with data labeling or bounding box annotation is a plus.
  • Familiarity with aerial, maritime, satellite, or thermal imagery is a plus.
  • Willingness to learn new labeling software.
  • Clear written and verbal communication abilities.

Responsibilities

  • Review machine-generated bounding boxes on still imagery and correct inaccuracies.
  • Find and label objects the model missed.
  • Apply labeling guidelines consistently across every image.
  • Work within a secure Navy environment using provided tools.
  • Maintain steady throughput; you’re paid per submitted image.
  • Flag ambiguous cases to the team and avoid guessing.
  • Prepare for video frame annotation as the project expands.

Skills

Attention to detail
Patience for repetition
Data labeling
Image/imagery familiarity
Written and verbal communication
Learning labeling software
Security awareness

Tools

Labeling software

Job description

Executive Staff Recruiters / ESR Healthcare seeks an Imagery Analyst to review and correct object labels on drone and maritime imagery. This contractor role allows part-time or full-time schedules, remote from the United States, with pay per image and CAC security requirements.

Responsibilities include correcting bounding boxes, labeling missed objects, and applying guidelines consistently. The work is precise, repetitive, and may evolve to video frame annotation as the project grows.

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