Remote Imagery Analyst — AI/ML Training Data Specialist

Zekai; United States; Remote; USD 21,000 - 34,000; Part time

Job summary

Zekai is seeking an Imagery Analyst to support AI/ML training data projects from a fully remote, US-based position. You will review and refine drone and maritime imagery, annotate objects, and ensure adherence to labeling guidelines.

The role evolves to include video-frame annotation as the project grows. Applicants should have data labeling experience, strong attention to detail, and clear written and verbal communication skills to report guidelines and ambiguities.

Qualifications

• Experience with data labeling and bounding box annotation.
• Ability to maintain accuracy in repetitive tasks.
• Detail-oriented with strong consistency.
• Strong written and verbal communication for reporting labeling requirements.
• U.S. citizenship and CAC eligibility or willingness to sponsorship.

Responsibilities

• Review and refine machine-generated bounding boxes for accuracy on drone and maritime imagery.
• Identify and annotate objects missed by AI models.
• Label data maintaining consistency and adherence to guidelines.
• Deliver completed annotated images within a secure Navy environment.
• Maintain steady throughput of completed images; compensation is per image submission.
• Transition to annotation of video frames as the project evolves.
• Document and communicate ambiguous cases or guideline questions clearly.

Skills

Data labeling

Bounding box annotation

Attention to detail

Quality control

Communication

Tools

Labeling tools

Job description

Zekai is seeking an Imagery Analyst to support AI/ML training data projects from a fully remote, US-based position. You will review and refine drone and maritime imagery, annotate objects, and ensure adherence to labeling guidelines.

The role evolves to include video-frame annotation as the project grows. Applicants should have data labeling experience, strong attention to detail, and clear written and verbal communication skills to report guidelines and ambiguities.