Computer Vision Engineer (AI)

ABOUT CURALABEL

Curalabel is seeking a talented Computer Vision Engineer (AI) to join our team on a one-year full-time contract. In this role, you will design, develop, and deploy state-of-the-art computer vision and deep learning solutions that solve real-world problems. You will work with large image and video datasets, build production-ready AI models, and collaborate with cross-functional teams to deliver intelligent vision-based applications.

RESPONSIBILITIES

• Design, develop, and optimize computer vision and deep learning models.

• Build AI solutions for image classification, object detection, segmentation, OCR, tracking, and visual recognition.

• Train, evaluate, and fine-tune deep learning models using large datasets.

• Develop data preprocessing, augmentation, and annotation pipelines.

• Deploy machine learning models into production environments.

• Optimize models for speed, accuracy, and scalability.

• Collaborate with software engineers and data scientists to integrate AI models into applications.

• Conduct research and evaluate new computer vision techniques and architectures.

• Debug, test, and improve existing AI systems.

• Document model architecture, experiments, and technical implementations.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Artificial Intelligence, Computer Engineering, Electrical Engineering, or a related field.

• Strong experience with Python.

• Experience with PyTorch, TensorFlow, or similar deep learning frameworks.

• Solid understanding of computer vision fundamentals.

• Experience with OpenCV.

• Knowledge of convolutional neural networks (CNNs), Vision Transformers (ViTs), and modern deep learning architectures.

• Experience training and evaluating machine learning models.

• Understanding of image processing techniques.

• Experience with Git and collaborative software development.

• Strong analytical and problem-solving skills.

• Excellent communication skills and the ability to work independently in a remote environment.

PREFERRED QUALIFICATIONS

• Experience with YOLO, Detectron2, MMDetection, or similar computer vision frameworks.

• Experience working with OCR technologies and document AI.

• Familiarity with image segmentation, pose estimation, facial recognition, or video analytics.

• Experience with multimodal AI and vision-language models.

• Experience deploying models using Docker, Kubernetes, or cloud platforms.

• Familiarity with AWS, Google Cloud Platform, or Microsoft Azure.

• Knowledge of MLOps, model monitoring, and CI/CD pipelines.

• Experience optimizing models using TensorRT, ONNX, or OpenVINO.

• Publications or contributions to computer vision or AI open-source projects are a plus.

WHAT WE OFFER

• 100% Remote work.

• Full-time, 12-month contract.

• Opportunity to work on cutting-edge AI and computer vision projects.

• Collaborative engineering environment with experienced AI professionals.

• Exposure to modern deep learning technologies and production-scale AI systems.

If you're passionate about artificial intelligence, computer vision, and building innovative AI-powered applications, we'd love to hear from you.