Computer Vision & ML Expert (AI Training)About The RoleWhat 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 in the Amsterdam area and across the Netherlands to evaluate, improve, and guide AI models that process images, video, and visual data — helping build systems that truly see.The Netherlands hosts a thriving ML research community — from the University of Amsterdam's leading computer vision group to innovative industry labs. 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: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoEvaluate AI-generated outputs related to image recognition, object detection, segmentation, and visual reasoning tasksAssess the quality, accuracy, and robustness of computer vision model predictions and outputsIdentify failure modes, edge cases, and biases in visual AI systemsCreate, review, and refine training data annotations for computer vision pipelinesProvide expert-level feedback on model behavior, architecture decisions, and output qualityWrite detailed technical evaluations and suggest concrete improvementsWork across diverse visual domains — from natural images and medical imaging to autonomous systems and document understandingComplete task-based assignments independently on your own scheduleWho You AreStrong foundational knowledge of computer vision — object detection, image classification, semantic segmentation, pose estimation, or related areasHands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or JAXFamiliarity with common CV architectures (CNNs, Vision Transformers, diffusion models, etc.)Comfortable reading and understanding ML research papersSolid understanding of data preprocessing, augmentation, and annotation best practices for visual dataDetail-oriented and systematic in evaluating model outputsClear, concise written communicator who can explain technical concepts effectivelySelf-motivated and reliable when working independentlyNice to HaveMS or PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learningPublished research in top CV/ML venues (CVPR, ICCV, ECCV, NeurIPS, ICML, etc.)Experience with 3D vision, video understanding, generative models, or multimodal AIFamiliarity with MLOps tools, experiment tracking, and model evaluation pipelinesBackground in specialized domains such as medical imaging, remote sensing, robotics, or autonomous drivingExperience with annotation platforms and data quality workflows at scaleProficiency in Python and scientific computing libraries (NumPy, OpenCV, scikit-learn)Why Join UsWork on cutting-edge AI projects alongside leading research labsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, task-based workMake a direct, tangible impact on how AI systems perceive and interpret the visual worldEngage with diverse, challenging problems across multiple visual domainsPotential for ongoing work and contract extension as new projects launchJoin a global community of top-tier AI practitioners shaping the future of machine intelligence

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