Company Description: RizwanAI provides full-stack computer vision development services that help businesses harness the power of AI through advanced image and video analysis. The team’s expertise spans object detection, image classification, OCR, face recognition, video analytics, quality inspection, and custom deep learning model development.
From concept and prototyping to deployment and maintenance, RizwanAI builds robust, scalable, production-ready systems. These solutions integrate seamlessly with web, mobile, cloud, and edge platforms, enabling organizations to automate processes, improve decision-making, and gain valuable insights from visual data.
Role Description: We are looking for a Computer Vision Content Creator who is passionate about AI, computer vision, and technical storytelling. In this full-time, on-site role, you will create engaging, educational, and technically accurate content that demonstrates computer vision technologies, AI models, and real-world applications.
You will work closely with the Founding team to transform technical concepts, experiments, and projects into accessible content for developers, researchers, and the broader AI community.
Key Responsibilities- Create engaging computer vision content for LinkedIn, X, YouTube, blogs, and other digital platforms.
- Develop technical demonstrations showcasing object detection, object tracking, segmentation, pose estimation, and other computer vision applications.
- Produce short videos, tutorials, visual explanations, infographics, and educational posts about AI and computer vision.
- Explain complex computer vision concepts in simple, clear, and engaging language.
- Work with popular computer vision frameworks and tools, including Ultralytics YOLO, Python, and related AI technologies.
- Research emerging computer vision models, tools, research papers, and industry developments to identify new content opportunities.
- Collaborate with engineers to understand technical workflows, experiments, and real-world applications.
- Plan and maintain content calendars to ensure consistent publishing across platforms.
- Monitor content performance, audience engagement, and analytics to improve future content.
- Maintain consistent content quality, technical accuracy, and brand identity across all channels.
- Strong understanding of computer vision concepts, including object detection, object tracking, image classification, instance segmentation, and pose estimation.
- Familiarity with Ultralytics YOLO and practical computer vision applications.
- Basic knowledge of Python and the ability to understand, run, and explain computer vision code.
- Experience creating technical or educational content for social media, blogs, websites, or video platforms.
- Strong writing, communication, and storytelling skills, with the ability to simplify complex technical topics.
- Ability to create and edit short-form videos, technical demonstrations, graphics, and other digital content.
- Familiarity with content creation tools, video editing software, and basic graphic design principles.
- Understanding of social media platforms, audience engagement, SEO fundamentals, and content analytics.
- Interest in emerging AI technologies, open-source projects, and computer vision research.
- Ability to work independently, collaborate with technical teams, and manage multiple content projects.
- Degree in Computer Science, Artificial Intelligence, Software Engineering, Media, or a related field, or equivalent practical experience.
- Experience working with Ultralytics YOLO, OpenCV, or similar computer vision frameworks.
- Previous experience creating AI or computer vision tutorials, technical demonstrations, or educational videos.
- Familiarity with GitHub, open-source projects, and developer communities.
- An existing portfolio of technical content, AI demonstrations, or educational projects.
- Experience building a professional audience on LinkedIn, X, YouTube, or other technology-focused platforms.
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