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Computer Vision Research Assistant Jobs in Tennessee

Socket.dev

Applied Scientist, WHS Data-Tech

Nashville, TN · On-site

$136 - $184/hr

Job ID: 10447429 | Amazon.com Services LLC We're looking for an Applied Scientist to develop computer vision and machine learning models that keep Amazon's workforce safe. Your research and models ...

New

Oracle

Principal Applied Scientist

Nashville, TN · On-site

Building Research Capability - Research Excellence: -Demonstrates advanced knowledge in at least one business-critical applied research area, such as computer vision, facial biometrics, video ...

Amazon

Applied Scientist II - AMZ27580.1

Nashville, TN · On-site

$136K - $184K/yr

... Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Statistics, or a related field ...

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Computer Vision Research Assistant information

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.

What are the most commonly searched types of Computer Vision Research jobs in Tennessee?

The most popular types of Computer Vision Research jobs in Tennessee are:

What are popular job titles related to Computer Vision Research Assistant jobs in Tennessee?

For Computer Vision Research Assistant jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Computer Vision Research Assistant jobs in Tennessee look for?

The top searched job categories for Computer Vision Research Assistant jobs in Tennessee are:

What cities in Tennessee are hiring for Computer Vision Research Assistant jobs?

Cities in Tennessee with the most Computer Vision Research Assistant job openings:

Computer Vision Research Assistant jobs near you
Infographic showing various Computer Vision Research Assistant job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.