Computer Vision Intern

A Computer Vision Intern works on developing and testing algorithms to enable machines to interpret and understand visual data. The role may involve researching and implementing computer vision techniques for various applications.

Owlera appears to be involved in financial operations, likely offering accounting services or supporting business processes.

📝 Computer Vision Intern (Unpaid) ⚠️ Applications will only be accepted through the following site: 👉 www.owlera.site About Owlera Owlera is an AI-powered career platform that helps students and fresh graduates gain practical experience through internship simulations inspired by real companies. Participants work on realistic business challenges, receive AI-powered feedback, use modern professional tools, and build portfolio-ready projects that demonstrate their abilities to future employers. We're looking for curious, visually-minded, and ambitious students to join our Computer Vision Internship and gain hands-on experience building systems that see and understand the visual world — from classic image processing to modern deep-learning vision models. About the Internship As a Computer Vision Intern, you'll work on realistic vision challenges involving image classification, object detection, segmentation, and visual recognition — building systems that can analyze photos, video frames, and real-world imagery. You'll learn how vision practitioners turn raw pixels into intelligent features and products — designing vision pipelines, training deep neural networks, and handling the quirks of real-world visual data. Responsibilities * Preprocess and augment image datasets (resizing, normalization, color transformations, synthetic augmentation). * Build image-classification models for visual recognition tasks. * Work with convolutional neural networks (CNNs) and vision transformers (ViTs). * Implement object-detection pipelines (bounding boxes, anchor-free methods). * Build image-segmentation models (semantic and instance segmentation). * Train and fine-tune pre-trained vision models (ResNet, YOLO, Detectron2-style architectures). * Experiment with face detection, facial landmarks, and visual attribute recognition. * Implement optical character recognition (OCR) prototypes on document images. * Evaluate vision models with proper metrics (mAP, IoU, precision/recall, F1). * Handle video data — frame sampling, temporal analysis, and action recognition basics. * Work with visual embeddings and image similarity / retrieval systems. * Build simple real-time vision demos (webcam-based detection or classification). * Visualize feature maps, attention heatmaps, and detection outputs. * Write clean, readable vision code using Python and libraries like PyTorch, OpenCV, and Ultralytics. * Document datasets, experiments, and findings clearly. * Use modern ML tooling (notebooks, experiment trackers, cloud GPUs). * Learn the fundamentals of convolutions, receptive fields, and visual feature learning. * Collaborate with other interns on cross-functional AI projects. * Turn real-world visual problems into trainable computer-vision formulations. Requirements * Current student or recent graduate in Computer Science, AI, Data Science, Mathematics, or a related field — or a strong self-taught coding portfolio. * Strong interest in visual AI, image processing, and deep learning. * Basic programming skills (Python is a plus). * Comfortable with basic math — linear algebra, probability, and statistics at an introductory level. * Analytical and logical thinking with close attention to detail. * Self-motivated and able to work independently on technical challenges. * Comfortable experimenting, failing fast, and iterating. * Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar platforms is a plus. * Previous professional computer-vision experience is not required. What You'll Gain * Hands-on experience building real vision systems, not just theory. * Practical experience with CNNs, vision transformers, and detection/segmentation models. * Experience training and fine-tuning vision models on realistic tasks. * Understanding of how vision pipelines are built, evaluated, and improved. * Practical exposure to PyTorch, OpenCV, YOLO-family models, and experiment tracking. * Portfolio-ready computer-vision projects built on realistic use cases. * Personalized AI feedback on your work. * Professional certificate upon successful completion. * Mentorship and weekly learning sessions. * Opportunity to strengthen your portfolio, resume, and interview readiness. Internship Details Role: Computer Vision Intern Location: Remote Type: Internship (Unpaid) Level: Entry Level Duration: 6 Weeks Commitment: Flexible (approximately 10–15 hours per week) If you're fascinated by how machines see and interpret the visual world and want to learn how real computer-vision systems are built, we'd love to hear from you. ⚠️ Apply through: 👉 www.owlera.site Show more