Required Skills
Data labeling
Data annotation
Labeling accuracy
Attention to detail
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.
Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.
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.
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.
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