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7 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
🔍 Keywords
⚪️ Experience
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🆕 Date Added

4 days ago

Polycam

11 - 50

Hiring Senior Computer Vision Engineer to improve mobile 3D capture pipeline.

6 days ago

Pano AI

11 - 50

Senior Computer Vision Engineer developing wildfire detection algorithms using AI and imaging data.

May 9

Samsara

1001 - 5000

Machine learning role for Samsara's Computer Vision team to analyze sensor data.

Top companies hiring remote computer vision engineers

PaxeraHealth

PACS • VNA • Teleradiology

51 - 200

Job Openings

Polycam

11 - 50

💰 Seed Round on 2020-12

Job Openings

Samsara

1001 - 5000

💰 Seed Round on 2014-08

Job Openings

VOLT AI

11 - 50

💰 Venture Round on 2021-01

Job Openings

Remote computer vision engineer salary expectations

The average salary for remote computer vision engineers is $152,241 per year. This is based on data from 22 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 computer vision engineer salaries.

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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