RemoteJobsOne
Imagery Analyst - AI/ML Training Data – Remote (US)
Chicago, California, US
Role snapshot
RemoteJobsOne is hiring a Imagery Analyst - AI/ML Training Data – Remote (US) on a full-time basis. This is a remote role open to candidates in US.
- Company
- RemoteJobsOne
- Location
- Chicago, California, US
- Work mode
- Remote
- Job type
- Full-time
- Posted
- Oct 27, 2026
Who this role suits
The listing does not state a required experience level here. Read the requirements in the description below and apply if they match your background.
How to prepare your application
- Match your résumé to the requirements in the description, using the same wording where it is honest to do so.
- Prepare a short example for each requirement you meet, and be ready to explain any you only partly meet.
- Read what RemoteJobsOne publishes about its product or team, so you can say clearly why this role and this company.
- For remote roles, show that you communicate clearly in writing and can work without close supervision.
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About the role
IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.
This is a fully remote position, open to candidates based in United States.
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.
How to apply
Apply here with your profile. We will then email you a link to complete your application on the hiring platform — your application is only considered once that final step is done.