Imagery Analyst for AI/ML Training Data - Remote US

Farooq77 AI; Only (TN); Remote; USD 28,000 - 83,000; Full time

Job summary

micro1 is seeking Imagery Analysts to contribute to a high-impact AI/ML training data project using drone and maritime sensor imagery. Analysts will review machine-generated bounding boxes, annotate objects, and ensure consistency with project guidelines.

Work is contractor-based and remote (US-only). Candidates should have experience in data labeling or bounding box annotation, and be comfortable delivering labeled imagery within secure environments.

Qualifications

• Experience with data labeling and bounding box annotation.
• Familiarity with high-volume, quality-controlled annotation environments.
• Experience in aerial, maritime or sensor imagery preferred.
• Strong written and verbal communication for reporting labeling requirements.
• Comfort using dedicated labeling software and learning new tools.

Responsibilities

• Review and refine machine-generated bounding boxes for accuracy.
• Identify and annotate objects missed by AI models.
• Label data consistently according to provided guidelines.
• Deliver completed annotated images within a secure Navy environment.
• Maintain steady throughput of image submissions.
• Transition to video-frame annotation as the project evolves.
• Document and communicate ambiguous cases and guideline questions clearly.

Skills

Data labeling

Bounding box annotation

Attention to detail

Aerial imagery

Maritime imagery

Sensor imagery

Thermal imagery

AI/ML training data

Quality-controlled annotation

Written communication

Verbal communication

Job description

micro1 is seeking Imagery Analysts to contribute to a high-impact AI/ML training data project using drone and maritime sensor imagery. Analysts will review machine-generated bounding boxes, annotate objects, and ensure consistency with project guidelines.

Work is contractor-based and remote (US-only). Candidates should have experience in data labeling or bounding box annotation, and be comfortable delivering labeled imagery within secure environments.