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Imagery Analyst - AI​/ML Training Data – Remote

Remote / Online - Candidates ideally in
Peoria, Peoria County, Illinois, 61601, USA
Listing for: RemoteJobsOne
Full Time, Part Time, Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-10-27
Job specializations:
  • IT/Tech
    Data Annotation/ AI Labeling, AI Evaluation, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 20 - 60 USD Hourly USD 20.00 60.00 HOUR
Job Description & How to Apply Below
Imagery Analyst - AI/ML Training Data - Remote (US)

Pay: $20-$60/hr

Role

Title:

Imagery Analyst - AI/ML Training Data

Role Type:
Contractor (Part-time or Full-time)

Location:

Remote, US-based.

We are engaging Imagery Analyst - AI/ML Training Data experts to contribute to a high-impact customer project centered on drone and maritime sensor imagery. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters.

Scope

of Work
  • Review and refine machine-generated bounding boxes for accuracy on still imagery from drone and maritime sensors.
  • Identify and annotate objects missed by AI models.
  • Label data maintaining consistency and adherence to provided guidelines.
  • Deliver completed annotated images within a secure Navy environment
  • Maintain steady, reliable throughput of completed images; compensation is based on each image submission.
  • Transition to annotation of video frames as the project evolves and expands in scope.
  • Document and communicate any ambiguous cases or guideline questions clearly, demonstrating strong written and verbal skills.
Preferred Qualifications
  • U.S. citizenship and ability to obtain a DoD Common Access Card (CAC) or willingness to engage in the sponsorship process.
  • Demonstrated attention to detail and consistency performing repetitive, accuracy-critical tasks.
  • Experience with data labeling, bounding box annotation, or similar data-preparation activities.
  • Familiarity with aerial, maritime, or sensor-based imagery, especially in daylight and thermal formats.
  • Track record in high-volume, quality-controlled annotation environments (robotics or autonomous system data-labeling experience is a plus).
  • Comfort using dedicated software tools for labeling tasks, with a willingness to learn new applications.
  • Strong written and verbal communication skills for reporting and clarifying labeling requirements.
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