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Remote Computer Vision Jobs
Browse remote computer vision positions — object detection, image segmentation, and vision AI engineering roles at companies building visual AI products.
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Posted 1 month ago
Research Scientist, Embodied AI
Niantic Spatial
London
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AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t kno...
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Posted 1 month ago
Senior Computer Vision Engineer (Localization)
Niantic Spatial
San Francisco, CA
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At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking ma...
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Posted 1 month ago
Computer Vision DATA Engineer - Fully Remote USD - Latin America based
Glacier
Remote Latin America based
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This role is FULLY REMOTE from Latin America - Pacific Time zone Hey, we're Glacier! A Series A startup based in San Francisco tackling one of the wor...
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Posted 1 month ago
Staff/Senior Staff Computer Vision Engineer - Map team
Niantic Spatial
San Francisco, CA
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AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t kno...
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Posted 3 months ago
Member of Technical Staff, Applied Research
LlamaIndex
San Francisco
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Join us and help shape the future of AI by defining the narrative around document understanding. We are looking for an AI Research Engineer to join ou...
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Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are de...
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Posted 1 month ago
Applications closedAI Handwritten Form Digitization Engineer
Holtix Solutions
Remote
Paris, France (UTC+1)
Insurance claims, delivery notes and patient intake forms still arrive handwritten, scanned at odd angles, sometimes photographed on a kitchen table....
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Posted 1 month ago
Applications closedJunior AI Solar Farm Panel Defect Detection Developer
Kelvix Systems
Remote
Madrid, Spain (UTC+1)
Drone thermal imagery, TensorFlow and a labeled set of 80,000 panel crops: that's the toolkit for this contract. Kelvix Systems analyzes aerial and sa...
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Posted 1 month ago
Applications closedSenior AI Pathology Slide Foundation Model Researcher
Orbio AI
Remote
Denver, United States (UTC-7)
We believe better diagnostics should reach every hospital, not only the top academic centers. Orbio AI builds decision support for pathologists, and w...
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Posted 1 month ago
Applications closedAI Alt-Text Generation Engineer
Vordex Tech
Remote
Toronto, Canada (UTC-5)
Millions of images on the web still have no description at all, which makes them invisible to blind and low-vision users. Vordex Tech builds accessibi...
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Role guide
What to expect in remote Computer Vision jobs
Computer vision is one of the most applied areas of deep learning. Remote computer vision jobs involve building object detection systems, image classification pipelines, and multimodal AI features. Engineers with strong vision experience — YOLO, Detectron2, OpenCV, or ViT architectures — are in consistent demand at AI companies building visual products.
What you'll work on
- Build real-time object detection systems for manufacturing, retail, or security
- Develop image classification pipelines for medical imaging or document processing
- Train and fine-tune vision transformers on domain-specific visual datasets
- Create multimodal AI systems that combine vision and language understanding
What companies look for
- Hands-on experience with detection frameworks (YOLO, Detectron2, MMDetection)
- Knowledge of vision transformer architectures (ViT, DETR, CLIP)
- Dataset annotation pipelines and active learning for model improvement
Frequently asked questions
What remote computer vision jobs are on RemoteAI?
Object detection engineers, vision AI developers, and multimodal AI engineers. Most require PyTorch or TensorFlow alongside specific vision framework experience.
Do computer vision jobs require deep learning expertise?
Yes for most roles. Modern computer vision is almost entirely deep learning based — CNNs, transformers, and detection architectures. Classical OpenCV skills are supplementary, not sufficient alone.
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