11D AGO

Imagery Analyst - AI/ML Training Data

micro1 / Imagery Analyst - AI/ML Training Data

RATE

$20 - $60/HR

LOCATION

REMOTE (GLOBAL)

More micro1 jobs STEM & PhD Code & Engineering

Apply

DESCRIPTION

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

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 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.