Computer Vision Intern

📝 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

Work arrangement
Yes