Imagery Analyst - AI/ML Training Data
micro1CodingFirst seen 9 Oct 2026
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- Where
- United States
- Language
- English
- Type
- Contract, remote
- Field
- Coding
Posted on micro1 First seen 9 Oct 2026Checked 12 Oct 2026Listed until 6 Dec 2026
From the micro1 listing
Role Title: Imagery Analyst - AI/ML Training Data
Role Type: Contractor (Part-time or Full-time)
Location: Remote, US-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.
Text above is the platform's own listing, shown as published. Check the details on micro1 before applying.
Prepare for the assessment
Practice questions and what each platform says about its screening for this kind of role:
Terms in this listing
- Bounding box: A rectangle drawn around an object in an image or video frame to mark where it is.
- Guidelines: The project's written instructions that define how to do a task and how to judge answers. On most projects they take precedence over personal preference.
- Annotation: Adding labels or notes to data such as text, images, audio or video so a model can learn from it.
- Labeling: Assigning a category or tag to an item, for example marking a review as positive or negative. Often used as a synonym for annotation.
How applying on micro1 works
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