18 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.
6 days ago
Unreal Staffing, Inc
2 - 10
Develop algorithms for machines to interpret and interact with visual data.
6 days ago
Unreal Staffing, Inc
2 - 10
Design and implement vision systems for robotics and autonomous solutions.
November 9
Motive
1001 - 5000
Motive builds technology for truck safety using computer vision and machine learning.
November 6
Scandit
501 - 1000
Join Scandit to advance machine learning and computer vision for retail analytics.
November 6
Scandit
501 - 1000
Develops computer vision algorithms for Scandit's ShelfView digital twin platform.
November 5
VideaHealth
51 - 200
Develop AI solutions for dental diagnostics as a Computer Vision Engineer.
October 31
OpenBright
2 - 10
Develop computer vision solutions to enhance workplace safety at CompScience.
October 26
GameChanger
51 - 200
Develop computer vision solutions for GameChanger's sports app.
🇺🇸 United States – Remote
💵 $140k - $185k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👁️ Computer Vision Engineer
October 22
KEYO
11 - 50
Engineer advanced biometric authentication solutions using ML and computer vision techniques.
🇺🇸 United States – Remote
💵 $75 - $85 / hour
💰 $7M Seed Round on 2022-11
⏳ Contract/Temporary
🟠 Senior
👁️ Computer Vision Engineer
October 17
Unreal Staffing, Inc
2 - 10
Computer Vision Engineer to design and implement visual intelligence solutions.
October 17
Unreal Staffing, Inc
2 - 10
Design and deploy computer vision solutions for various industries to enhance product experiences.
October 9
Lead design and deployment of AI computer vision solutions for government.
September 12
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.
🇨🇦 Canada – Remote
💵 $85.4k - $110.5k / year
💰 Seed Round on 2014-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
👁️ Computer Vision Engineer
May 9
Samsara
1001 - 5000
Scientist generating insights from customer interactions and sensor data.
🇺🇸 United States – Remote
💵 $113k - $190k / year
💰 Seed Round on 2014-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
👁️ Computer Vision Engineer
🗽 H1B Visa Sponsor
November 4, 2023
Dandy
501 - 1000
Develop computer vision models for Dandy's 3D dental platform.
🇺🇸 United States – Remote
💵 $232.5k - $258.8k / year
💰 Venture Round on 2019-12
⏰ Full Time
🔴 Lead
👁️ Computer Vision Engineer
🗽 H1B Visa Sponsor
Top companies hiring remote computer vision engineers
Remote computer vision engineer salary expectations
The average salary for remote computer vision engineers is $158,644 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:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟡 Mid-level Computer Vision Engineer (2-4 yrs) | 7 | $135,288 |
🟠 Senior Computer Vision Engineer (5-9 yrs) | 12 | $153,543 |
🔴 Lead Computer Vision Engineer (10+ yrs) | 3 | $233,550 |
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.