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 in the Toronto area and across Canada to evaluate, improve, and guide AI models that process images, video, and visual data — helping build systems that truly see. Canada's deep learning ecosystem — from the Vector Institute to leading university labs — has produced some of the field's most influential advances.

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 versatile — 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

📌 Computer Vision & ML Expert (Toronto)
🏢 Alignerr
📍 Toronto