Computer Vision & ML Expert

New York

**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 practices for visual data * Detail-oriented and systematic in evaluating model outputs * Clear, concise written communicator who can explain technical concepts effectively * Self-motivated and reliable when working independently **Nice to Have** * MS or PhD in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning * Published research in top CV/ML venues (CVPR, ICCV, ECCV, NeurIPS, ICML, etc.) * Experience with 3D vision, video understanding, generative models, or multimodal AI * Familiarity with MLOps tools, experiment tracking, and model evaluation pipelines * Background in specialized domains such as medical imaging, remote sensing, robotics, or autonomous driving * Experience with annotation platforms and data quality workflows at scale * Proficiency in Python and scientific computing libraries (NumPy, OpenCV, scikit-learn) **Why Join Us** * Work on cutting-edge AI projects alongside leading research labs * Fully remote and flexible --- work when and where it suits you * Freelance autonomy with the structure of meaningful, task-based work * Make a direct, tangible impact on how AI systems perceive and interpret the visual world * Engage with diverse, challenging problems across multiple visual domains * Potential for ongoing work and contract extension as new projects launch * Join a global community of top-tier AI practitioners shaping the future of machine intelligence