8 Remote Computer Vision Engineer Jobs
Explore top remote computer vision engineer jobs and find flexible roles such as llm engineer, nlp engineer, ai engineer, ai research scientist, machine learning engineer on Kickstart Remote. Work from anywhere and advance your career today!
Senior Computer Vision Engineer
Join an Applied AI team as a Computer Vision Engineer. Specializing in AI model design, optimization, and real-world deployment.
Computer Vision Engineer
Computer Vision Engineer developing AI detection and classification pipelines at LogaRec. Working with modern tools to enhance autonomous systems and contributing to innovative projects.
AI Image Optimization Lead
AI Image Optimization Lead creating innovative and engaging imagery for Gametime's event platform. This role enhances fan engagement through GenAI-driven imagery and quantitative experimentation.
Senior Computer Vision Engineer
Senior Computer Vision Engineer developing intelligent video analytics solutions for AI-based applications in aviation. Architecting ML pipelines and improving internal tools for effective project delivery.
Computer Vision Engineer
Founding engineer for computer vision team at CircuitHub, focusing on PCB defect detection and model training. Critical role in enhancing electronics manufacturing processes in the USA and Europe.
Computer Vision Engineer
Computer Vision Engineer enhancing geospatial technology within the Computer Vision team at Reveal. Play a key role in building software with real-world impact on the Farsight product.
Computer Vision Engineer – R&D
Senior Computer Vision Engineer at Panoptyc developing object detection models for retail intelligence. Involved in model optimization, mentoring, and staying ahead of CV research.
Computer Vision Engineer – R&D
Senior Computer Vision Engineer at Panoptyc architecting advanced models for retail object recognition and deploying edge solutions. Leading technical decisions and driving innovation in computer vision.
Remote computer vision engineer salary expectations & hiring insights
Looking to build your career in computer vision engineer?
According to our job data analysis, the average remote computer vision engineer salary is $88,024 per year, based on insights from over 8 job listings.
These roles span across startups (2–10 employees) to established firms (51–200 employees).
The demand for remote computer vision engineers continues to grow rapidly, with top companies like MyShell.ai and Panoptyc offering roles such as LLM Engineer and NLP Engineer.
Salary breakdown by experience
| Experience level | Average salary |
|---|---|
| Mid-level | $61,707 |
| Senior | $88,024 |
Skills hiring teams expect
Hiring managers consistently highlight C++ (14.3%) as the must-have skill for remote computer vision engineer roles. iOS (14.3%) follows closely, showing how teams blend analytical depth with modern tooling. We parsed live job descriptions to surface the most requested capabilities.
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Companies leading remote hiring
Organizations such as MyShell.ai (2), Panoptyc (2), Reveal Technology (1), CircuitHub (1), and ASSAIA RESTAURANT (1) have published the most openings lately, offering a snapshot of the employers investing in distributed computer vision engineer talent.
Top regions hiring remotely
⛩ Anywhere in Asia accounts for the largest share of distributed computer vision engineers openings, capturing 100.0% of the listings we track. Use this regional data to target your outreach and tailor availability windows.
2 listings
Education trends
Bachelor Degree remains the most frequently cited credential, appearing in 100.0% of verified postings. Mentioning equivalent coursework or certifications helps recruiters validate your background quickly.
100.0% of postings
Ask our talent partners
FAQs about Computer Vision Engineer
Quick answers we share most often with job seekers exploring computer vision engineer paths.
Question 1What skills do you need to get a remote Computer Vision Engineer job?
You need strong programming skills in Python and C++, plus experience with deep learning frameworks like PyTorch. Knowledge of libraries such as OpenCV and proficiency with SQL for data handling are also essential for building models.
Question 2What qualifications do you need to get a remote Computer Vision Engineer job?
Most positions require a bachelor's degree in computer science or a related field, with many preferring a master's. You should also present a portfolio of projects that demonstrates your practical experience with computer vision algorithms.
Question 3What are the responsibilities of someone who does a remote Computer Vision Engineer job?
A Computer Vision Engineer designs, trains, and deploys models for tasks like image classification and object detection. They also clean datasets, analyze model performance, and collaborate with team members on system integration.
Question 4What are the benefits of a remote Computer Vision Engineer job?
This role offers great schedule flexibility and eliminates your daily commute. You also gain the opportunity to work with global teams on diverse and challenging technical problems from anywhere.
Question 5What does a typical day look like for a remote Computer Vision Engineer?
A typical day involves writing code to train neural networks, analyzing results, and tuning model hyperparameters. You will also join video calls with your team to review progress and plan next steps.
Question 6What tools do remote Computer Vision Engineer teams commonly use?
Teams frequently use Python with PyTorch or TensorFlow for model development, along with OpenCV for image processing. They rely on Git for version control and platforms like Jira for tracking project tasks.
Question 7How can you grow your career as a remote Computer Vision Engineer professional?
You can grow by publishing research, contributing to open-source projects, and mastering new frameworks. Taking on projects with increasing complexity also helps you build a strong professional reputation.
Question 8Why is Computer Vision Engineer important in remote-first companies?
Computer Vision Engineers build the core AI that powers products like augmented reality and automated quality checks. Their work directly creates valuable features for users, which is vital for a company's product success.