Computer Vision Pipeline & Deployment Reviewer
Job Description
Work at IXO
Apply your experience in computer vision engineering to paid work at IXO. You will develop realistic evaluation examples and review AI responses for technical correctness, clear reasoning and practical usefulness. The work calls for explanations that identify the actual defect or trade-off and show how a better answer would address it.
Responsibilities
• Assess classification, detection, segmentation and tracking code in PyTorch, TensorFlow, OpenCV or ONNX.
• Review training data, augmentation and label quality, including vision transformers, YOLO and SAM-style models.
• Evaluate TensorRT, OpenVINO, CoreML or mobile inference decisions, identifying coordinate, colour-space and dataset-bias errors.
• Record the assumptions, supporting evidence and corrections needed for another specialist to follow your review.
Experience and expertise
• 5• years in computer vision research or production engineering.
• Practical depth in PyTorch and at least one production CV framework.
• A thorough understanding of classical image processing and modern deep CV architectures.
• Experience deploying CV models on edge devices, GPUs, or in cloud.
• Ability to work confidently with COCO/YOLO/Pascal data formats and annotation tools.
• Familiarity with multimodal models (CLIP, SAM, BLIP) is an advantage.
Working arrangements and pay
Remote work in these eligible locations: USA, UK, Canada, Germany, Australia. Planning availability: Flexible, 10-25 hours/week. IXO will confirm the actual start and schedule before acceptance. Compensation is $105 • $170/hr USD. The agreed rate, delivery requirements and review criteria are confirmed before work begins.