Computer Vision & ML Expert

<strong>Computer Vision & ML Expert (AI Training)<br><br></strong><strong>About The Role<br><br></strong>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 based in London and the UK to evaluate, improve, and guide AI models that process images, video, and visual data — helping build systems that truly see.<br><br>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.<br><br><ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Remote</li><li>Commitment: 10–40 hours/week<br><br></li></ul><strong>What You'll Do<br><br></strong><ul><li>Evaluate AI-generated outputs related to image recognition, object detection, segmentation, and visual reasoning tasks</li><li>Assess the quality, accuracy, and robustness of computer vision model predictions and outputs</li><li>Identify failure modes, edge cases, and biases in visual AI systems</li><li>Create, review, and refine training data annotations for computer vision pipelines</li><li>Provide expert-level feedback on model behavior, architecture decisions, and output quality</li><li>Write detailed technical evaluations and suggest concrete improvements</li><li>Work across diverse visual domains — from natural images and medical imaging to autonomous systems and document understanding</li><li>Complete task-based assignments independently on your own schedule<br><br></li></ul><strong>Who You Are<br><br></strong><ul><li>Strong foundational knowledge of computer vision — object detection, image classification, semantic segmentation, pose estimation, or related areas</li><li>Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX</li><li>Familiarity with common CV architectures (CNNs, Vision Transformers, diffusion models, etc.)</li><li>Comfortable reading and understanding ML research papers</li><li>Solid understanding of data preprocessing, augmentation, and annotation best practices for visual data</li><li>Detail-oriented and systematic in evaluating model outputs</li><li>Clear, concise written communicator who can explain technical concepts effectively</li><li>Self-motivated and reliable when working independently<br><br></li></ul><strong>Nice to Have<br><br></strong><ul><li>MS or PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning</li><li>Published research in top CV/ML venues (CVPR, ICCV, ECCV, NeurIPS, ICML, etc.)</li><li>Experience with 3D vision, video understanding, generative models, or multimodal AI</li><li>Familiarity with MLOps tools, experiment tracking, and model evaluation pipelines</li><li>Background in specialized domains such as medical imaging, remote sensing, robotics, or autonomous driving</li><li>Experience with annotation platforms and data quality workflows at scale</li><li>Proficiency in Python and scientific computing libraries (NumPy, OpenCV, scikit-learn)<br><br></li></ul><strong>Why Join Us<br><br></strong><ul><li>Work on cutting-edge AI projects alongside leading research labs</li><li>Fully remote and flexible — work when and where it suits you</li><li>Freelance autonomy with the structure of meaningful, task-based work</li><li>Make a direct, tangible impact on how AI systems perceive and interpret the visual world</li><li>Engage with diverse, challenging problems across multiple visual domains</li><li>Potential for ongoing work and contract extension as new projects launch</li><li>Join a global community of top-tier AI practitioners shaping the future of machine intelligence</li></ul>

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