19 Remote Computer Vision Engineer Jobs

Explore flexible and work from home computer vision engineer positions available worldwide. Your career in truly remote companies - apply today.

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👁️ Computer Vision Engineer
🌍 Location
💵 Minimum Salary
⚪️ Experience
19 Jobs
🆕 Date Added

March 5

Join Binance to lead computer vision initiatives in a top global blockchain ecosystem. Leverage your expertise in Python and deep learning models.

February 26

Join Near Space Labs to enhance geospatial data accuracy through photogrammetric techniques and image processing.

February 8

Join our team as an AI Engineer to develop algorithms for image and video synthesis. Work remotely to innovate in fashion tech with generative AI technologies.

January 29

Join CompScience to create AI-driven insights from video data for workplace safety. Be part of a team reducing workplace injuries through innovative technology.

January 11

Join Sword Health to develop computer vision solutions for pain treatment. Utilize innovative technology for healthcare improvements.

December 13, 2024

As a Computer Vision Engineer, develop and deploy algorithms to fish farms for efficient aquaculture. Join Aquabyte in revolutionizing fish farming sustainability through cutting-edge technology.

Remote Computer Vision Engineer Salary Expectations

The average salary for remote computer vision engineers is $176,686 per year. This is based on data from 21 job openings. Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate salary expectations.

Below is a breakdown of salary data by years of experience:

Frequently asked questions

You need strong programming skills in languages like Python and C++, expertise in machine learning and image processing, proficiency in libraries such as OpenCV and TensorFlow, and a solid understanding of algorithms and computer vision techniques. Analytical thinking and problem-solving skills are essential.

Typically, a degree in computer science, engineering, or a related field is required. Relevant experience with computer vision projects and a strong portfolio showcasing your work are often more important than formal credentials. Certifications in machine learning or computer vision may also be helpful.

Responsibilities include designing and implementing computer vision algorithms, developing and training machine learning models, analyzing visual data, collaborating with other engineers and data scientists, and optimizing algorithms for performance. You will also need to ensure solutions are scalable and align with project goals.

Benefits include flexible work hours, the ability to work from any location, reduced commuting time, and an improved work-life balance. Remote work allows for diverse collaboration opportunities and the chance to work with cutting-edge technology in a global market.

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