🛰️ Imagery Analyst – AI/ML Training Data $20–$60/hour Remote Openings 10

🛰️ Imagery Analyst – AI/ML Training Data | Remote US Job | micro1 Are you experienced in data labeling, image annotation, or imagery analysis and have excellent attention to detail? 🛰️ micro1 is hiring 10 Imagery Analysts to support a high-impact AI/ML training project focused on drone and maritime sensor imagery. This opportunity is designed for professionals who can perform highly accurate image annotation and work with real-world sensor data to help train next-generation AI systems. ✨ No prior AI experience is required — your domain knowledge and annotation accuracy are what matter. 💼 Job Details Position: Imagery Analyst – AI/ML Training Data Company: micro1 Job Type: Contractor – Part-time or Full-time Location: Remote – US-based 🇺🇸 Openings: 10 Pay: $20–$60/hour Required Skills: Data Labeling, Data Annotation, Labeling Accuracy, Attention to Detail 🤖 About the Role micro1 is engaging Imagery Analysts to contribute to a customer project centered on drone and maritime sensor imagery. Your work will help AI models learn to accurately identify and understand objects in real-world imagery. You will review AI-generated annotations, identify objects that AI models miss, and create accurate labels according to project guidelines. 🛰️ Scope of Work As an Imagery Analyst, your responsibilities may include: 1. 🔍 Review AI-Generated Bounding Boxes Review machine-generated bounding boxes on still images captured from drone and maritime sensors. You will check whether AI-generated labels accurately identify the objects in each image. 2. 🎯 Identify Missing Objects Find objects that have been missed by AI models and add the appropriate annotations. Accuracy is extremely important because these annotations will be used as AI/ML training data. 3. 🏷️ Label Images Accurately Apply labels consistently according to the project's provided guidelines. You will need to maintain a high level of accuracy across a potentially large volume of images. 4. 🔐 Work Within a Secure Environment Completed annotated images will be delivered within a secure Navy environment. 5. 📊 Maintain Reliable Throughput Maintain steady and consistent completion of annotation tasks. ⚠️ Important: The job description states that compensation is based on each image submission. 6. 🎥 Video Frame Annotation As the project develops, the work may expand from still imagery to video-frame annotation. 7. 💬 Report Ambiguous Cases Clearly document and communicate: Unclear images Ambiguous objects Guideline questions Labeling challenges Other issues requiring clarification Strong written and verbal communication is important for this part of the role. 🎯 Preferred Qualifications 🇺🇸 U.S. Citizenship & DoD Access Candidates should have: U.S. citizenship Ability to obtain a DoD Common Access Card (CAC) Alternatively, candidates may be willing to participate in the CAC sponsorship process. 🔎 Attention to Detail You should be comfortable performing repetitive, accuracy-critical tasks while maintaining consistent quality. 🏷️ Data Annotation Experience Experience with: Data labeling Bounding box annotation Image annotation Data preparation AI/ML training data is highly relevant. 🛰️ Imagery Experience Familiarity with: Aerial imagery Maritime imagery Sensor-based imagery Daylight imagery Thermal imagery is beneficial. 📈 High-Volume Annotation Experience working in high-volume, quality-controlled annotation environments is preferred. Experience with robotics or autonomous system data labeling is a plus. 💻 Software Skills Comfort using dedicated labeling software and the ability to quickly learn new applications are important. 🗣️ Communication Strong written and verbal communication skills are required to report issues and clarify labeling requirements. 🤖 Do You Need AI Experience? No. micro1 states that previous AI experience is not required. Your expertise in imagery, data labeling, annotation, accuracy, and attention to detail is what matters. 💰 Pay & Opportunity 💵 $20–$60/hour 👥 10 openings 🕐 Part-time or Full-time 🌎 Remote – US-based 🏷️ Contractor ⚠️ The job description also states that compensation is based on each image submission, so applicants should understand the project's output-based compensation structure. 👤 Who Should Apply? This opportunity may be suitable for: Imagery Analysts Data Annotation Specialists Data Labeling Specialists Image Annotation Professionals AI/ML Training Data Specialists Geospatial/Imagery Professionals Drone imagery analysts Maritime imagery professionals Sensor data specialists Robotics data-labeling professionals Autonomous systems data specialists ⚠️ Important Eligibility Requirement This is not a general worldwide remote job. The listing specifically states: 🇺🇸 Remote, US-based It also lists U.S. citizenship and ability to obtain a DoD Common Access Card (CAC) as a preferred qualification. Applicants outside the United States should carefully check eligibility before applying. Apply Now