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Computer Vision Research Assistant Jobs (NOW HIRING)

Cesna Group

Computer Vision R&D Engineer

San Diego, CA · On-site

$100K - $200K/yr

We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines ...

Motorola

Foundational Research Strategy: Define the long-term research agenda for fundamental computer ... assist you.

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Computer Vision Research Assistant information

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$48.3K

$63.5K

How much do computer vision research assistant jobs pay per year?

As of Aug 25, 2026, the average yearly pay for computer vision research assistant in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is a computer vision research assistant?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What does a computer vision research assistant do?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.

What are the key skills and qualifications needed to thrive as a computer vision research assistant?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.
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Computer Vision Research Assistant jobs near you
Infographic showing various Computer Vision Research Assistant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision Research Intern

Futurewei Technologies, Inc.

San Jose, CA • On-site

$18 - $59/hr

Internship

Posted 18 days ago

Job description

****Please note: This position is exclusively for the Fall 2026 internship term****
Our research team works on cutting-edge projects in the field of computer vision (CV) and artificial intelligence (AI) - helping machines perceive, understand, and reason about the world around them. We are looking for a passionate and talented intern to join our research team. The ideal candidate is highly motivated with broad knowledge in CV/AI, and with demonstrated ability for new technology research and a proven record of influential publications in related fields. The intern will have the opportunity to work with a diverse group of researchers in the exploration of advanced techniques and contribute to the projects.
This candidate is expected to:
• Conduct original research in computer vision, including but not limited to spatial intelligence and reasoning (e.g. 3D/4D scene understanding, reconstruction, embodied perception, vision-language models, multimodal generative modeling, etc.), from conceptualization through implementation and evaluation.
• Identify state-of-the-art (SOTA) techniques, performing systematic literature reviews and benchmarking existing methods to inspire new ideas.
• Conduct experimental studies and refine solutions based on qualitative evaluation and quantitative metrics.
• Write research papers and publish findings in top-tier CV/ML conferences and journals.
Requirements:
• Deep understanding of computer vision and machine learning fundamentals; experience with 3D vision, geometric reasoning, or embodied AI is a plus
• Strong programming skills in Python and hands-on experience with frameworks such as PyTorch, etc.
• Proven experience in conducting original research in computer vision, with at least one publication in a peer-reviewed journal or conference
• Strong written and verbal communication skills, with the ability to contribute to academic publications and present research findings
• Ability to work independently and collaborate effectively within a team
• PhD student in Computer Science, Computer Vision, Machine Learning, or a related field
Hourly interns pay range: $18 to $59, depending on degree-seeking academic program (PhD, Master's, Bachelor's, etc.), years of relevant experience, year in school, geographic location, credentials, qualifications, and other job-related factors.
Housing allowance and relocation benefit might be provided to intern candidates who meet the qualifications. Additional details on the compensation package will be provided to candidates during the interview process.
Futurewei Technologies, Inc. is proud to be an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status under federal, state, and local laws.

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