🤖 Video Annotation Specialist | Remote | $50–$90/Hour Remote Openings 10000

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🤖 Video Annotation Specialist | Remote | $50–$90/Hour Posted by micro1 🌍 Location: Remote 💼 Job Type: Contractor 👥 Openings: 10,000 💰 Pay: $50–$90/hour 🤖 AI Experience: Not required 🎥 Focus: Video Annotation / Robotics / AI Training 📌 Job Overview micro1 is engaging experienced Video Annotation Specialists to contribute to a project focused on reviewing and annotating videos of robotic arms performing designated tasks. In this role, you'll use your attention to detail and video annotation expertise to provide high-quality, real-world data that helps train and improve next-generation AI systems. You will carefully review video footage, identify important actions and outcomes, and apply detailed grading and annotation guidelines. 👉 Previous AI experience is not required. Your domain knowledge and ability to accurately evaluate visual information are what matter. A background in AI training projects, robotics, video annotation, or data labeling is strongly preferred. 🛠️ Required Skills 🎥 Video annotation 🏷️ Data labeling 🔍 Attention to detail ✍️ Written communication ⏰ Time management 🖥️ Video annotation tools 🤝 Collaboration 🧠 Analytical thinking 📊 Data accuracy ✅ Quality assurance 📋 Scope of Work 1. 🎥 Review Video Footage Review videos showing robotic arms performing assigned tasks and identify important actions, events, and outcomes. 2. 🏷️ Annotate Video Data Apply detailed grading guidelines to accurately tag and annotate events throughout video sessions. 3. 🖥️ Use Annotation Tools Work with video annotation platforms and tools to record structured observations and support data-labeling efforts. 4. 🤝 Collaborate With Project Teams Work with project trainers and other contributors to resolve unclear cases and maintain annotation consistency. 5. 📊 Document Findings Prepare and submit annotated datasets according to project standards, requirements, and milestones. 6. 💬 Communicate Progress Clearly communicate project progress, challenges, observations, and insights through written and verbal communication. 7. ✅ Quality Reviews Participate in ongoing quality checks to maintain high annotation standards and incorporate feedback. 🎯 Preferred Qualifications 🎥 Video Annotation Experience Previous experience with video annotation, data labeling, or similar annotation projects is preferred. 🔍 Strong Attention to Detail Ability to carefully review and accurately tag visual information while maintaining consistency. 🗣️ Communication Skills Strong written and verbal communication skills for collaboration, reporting, and sharing project findings. ⏰ Time Management Ability to organize your workload, work independently, and meet project deadlines. 🖥️ Annotation Tools Familiarity with video annotation software and platforms is an advantage. 🤖 AI & Robotics Background Experience with AI training, machine learning data preparation, or robotics projects is strongly preferred. 🧠 Analytical Mindset Strong problem-solving skills and a proactive approach to resolving annotation challenges. 🤖 AI Experience Not Required You do not need previous AI experience to apply. micro1 is looking for professionals who can accurately review visual data, follow detailed guidelines, identify important events, and produce high-quality annotations. Experience in video annotation, robotics, AI training, or data labeling can be especially valuable. 💰 Compensation $50–$90 per hour This is a remote contractor opportunity with compensation listed at $50–$90/hour. 🚀 Why Consider This Opportunity? This role provides an opportunity to work remotely on a project supporting the development of next-generation AI systems. Your work reviewing and annotating robotic-arm videos can help improve how AI models understand visual information, actions, and real-world tasks. 🔎 Job Details at a Glance Company: micro1 Position: Video Annotation Specialist Job Type: Contractor Location: Remote Openings: 10,000 Pay: $50–$90/hour Industry: AI / Robotics / Data Annotation AI Experience: Not required Preferred Background: Video Annotation, AI Training, Robotics, Data Labeling Apply Now