Imagery Analyst —Imagery Analyst - AI/ML Training Data

About this role

Role Title:Imagery Analyst - AI/ML Training Data
Role Type: Contractor — part-time or full-time
Location: Remote, U.S.-based
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.
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.

Originally posted on Himalayas