Computer Vision & ML Expert

Computer Vision & ML Expert (AI Training) About the Role What if your expertise in computer vision could directly shape how the next generation of AI systems perceives, interprets, and understands the visual world? We're looking for Computer Vision & Machine Learning Experts to evaluate, improve, and guide AI models that process images, video, and visual data — helping build systems that truly see. This is a fully remote, flexible contract role for practitioners with hands-on experience in computer vision and machine learning. Whether you're a researcher, engineer, or advanced graduate student, your technical depth will have a direct, measurable impact on AI systems used by millions. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10–40 hours/week What You'll Do Evaluate AI-generated outputs related to image recognition, object detection, segmentation, and visual reasoning tasks Assess the quality, accuracy, and robustness of computer vision model predictions and outputs Identify failure modes, edge cases, and biases in visual AI systems Create, review, and refine training data annotations for computer vision pipelines Provide expert-level feedback on model behavior, architecture decisions, and output quality Write detailed technical evaluations and suggest concrete improvements Work across diverse visual domains — from natural images and medical imaging to autonomous systems and document understanding Complete task-based assignments independently on your own schedule Who You Are Strong foundational knowledge of computer vision — object detection, image classification, semantic segmentation, pose estimation, or related areas Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX Familiarity with common CV architectures (CNNs, Vision Transformers, diffusion models, etc.) Comfortable reading and understanding ML research papers Solid understanding of data preprocessing, augmentation, and annotation best prac