Imagery Analyst - AI/ML Training Data
micro1 is engaging Imagery Analysts to contribute to a high-impact project centered on drone and maritime sensor imagery. Experts will review and refine machine-generated bounding boxes, identify objects missed by AI models, annotate imagery according to detailed guidelines, and provide high-quality training data for next-generation AI systems. The role may transition to video-frame annotation as the project expands.
Salary
USD20 - USD60 / hour
Department
AI Research & Evaluation
Experience
Experience with data labeling, bounding box annotation, or similar data-preparation activities, preferably in high-volume, quality-controlled annotation environments involving aerial, maritime, robotics, autonomous systems, or sensor imagery.
Curated by Farooq77 Jobs
Role fit snapshot
- Engagement
- Remote contractor | micro1 application platform
- Experience
- Recorded experience: Experience with data labeling, bounding box annotation, or similar data-preparation activities, preferably in high-volume, quality-controlled annotation environments involving aerial, maritime, robotics, autonomous systems, or sensor imagery.
- Core expertise
- AI Research & Evaluation | Data labeling | Data annotation | Bounding box annotation
- Geographic eligibility
- United States
- Listing dates
- Posted 2026-10-08 | Valid through 2026-11-07
- Compensation
- Recorded compensation: $20-$60/hour
Responsibilities
- 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 consistently according to provided guidelines.
- Deliver completed annotated images within a secure Navy environment.
- Maintain steady and reliable throughput of completed image submissions.
- Transition to annotation of video frames as the project evolves.
- Document and communicate ambiguous cases and guideline questions clearly.
Skills
Requirements
- 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 when 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, particularly daylight and thermal formats, is preferred.
- Experience in high-volume, quality-controlled annotation environments is preferred.
- Robotics or autonomous-system data-labeling experience is a plus.
- Comfort using dedicated software tools for labeling and willingness to learn new applications.
- Strong written and verbal communication skills for reporting and clarifying labeling requirements.
Before you apply
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- Verify the current compensation at the official source.
- Review the required skills and experience.
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