Imagery Analyst - AI/ML Training Data

Remolity, Inc.; Northern (KY); Remote; USD 28,000 - 83,000; Part time

Job summary

Remolity, Inc. seeks Imagery Analyst for AI/ML training data using drone and maritime imagery. This role is contractor-based, remote in the US, with part-time or full-time options and compensation tied to per-image submissions.

You'll review bounding boxes, annotate missed objects, and ensure labeling accuracy per guidelines. Prior AI experience is not required; domain knowledge matters for quality input.

Qualifications

• Review and refine machine-generated bounding boxes for accuracy on still imagery.
• Identify objects missed by AI models and correct annotations.
• Label data consistently according to provided guidelines and standards.

Responsibilities

• Annotate drone and maritime sensor imagery for AI/ML training.
• Ensure high-quality labeled data to improve model learning and performance.
• Deliver annotated images promptly within project deadlines.
• Communicate ambiguous cases clearly to maintain guideline adherence.
• As project evolves, transition to video frame annotation when required.

Skills

Data labeling

Data annotation

Attention to detail

Job description

Imagery Analyst - AI/ML Training Data

Remote — United States

Data labeling Data annotation Labeling accuracy Attention to detail

Important note: The posting advertises $20–$60 USD/hour, but compensation is based on each image submission. Part-time or full-time contractor engagement; weekly hours and the per-image rate are not specified. Remote, US-based.

About the role

micro1 is 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.

Role type: Contractor (Part-time or Full-time). Location: Remote, US-based.

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.


• Part-time or full-time


• No prior AI experience required

Where you can work

This role is open to people based in: United States.

Remote does not always mean work from any country. Always check the employer’s location and working-hour requirements.