Imagery Analyst - AI/ML Training Data

Role overview

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.

Requirements & 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.

Skills

• Data labeling
• Data annotation
• Labeling accuracy
• Attention to detail