Computer Vision & ML Expert

- 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