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How much do junior computer vision jobs pay per year?

As of Sep 9, 2026, the average yearly pay for junior computer vision in the United States is $88,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a junior computer vision?

Junior Computer Vision Engineers are entry-level professionals who work on developing and implementing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They typically assist in building models for tasks like object detection, image classification, and facial recognition. These engineers often work under the guidance of senior team members, helping with data preprocessing, model training, and performance evaluation. The role requires a foundation in programming, mathematics, and machine learning, as well as familiarity with libraries like OpenCV or TensorFlow.

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

To thrive as a Junior Computer Vision Engineer, you need a solid background in mathematics, programming (especially Python or C++), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), OpenCV, and experience working with image processing libraries are commonly required. Strong problem-solving abilities, attention to detail, and the ability to communicate complex concepts clearly are valuable soft skills. These competencies are crucial for developing accurate computer vision models and collaborating effectively within multidisciplinary engineering teams.

What are some common challenges faced by junior computer vision engineers in their first year on the job?

Junior Computer Vision engineers often encounter challenges such as bridging the gap between academic knowledge and real-world application, dealing with large and noisy datasets, and optimizing models for performance and accuracy. They may also need to quickly learn new frameworks or libraries and adapt to the fast-paced development cycles typical in tech environments. Collaboration with data scientists, software engineers, and product teams is essential, so developing strong communication skills and the ability to work in interdisciplinary teams is key to success.

What is the difference between Junior Computer Vision vs Junior Machine Learning Engineer?

AspectJunior Computer VisionJunior Machine Learning Engineer
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of image processingBachelor's in CS, Data Science, or related; understanding of algorithms and data modeling
Work EnvironmentResearch labs, tech companies, AI startups focusing on image/video analysisTech firms, startups, or research centers working on predictive models and data pipelines
Employer & Industry UsageUsed in industries like robotics, surveillance, autonomous vehiclesApplied across finance, healthcare, e-commerce, and tech sectors

Junior Computer Vision roles focus on developing algorithms for image and video analysis, often requiring knowledge of computer vision libraries. Junior Machine Learning Engineers work on building predictive models across various data types. While both roles require programming skills and foundational knowledge of algorithms, their focus areas differ, with computer vision emphasizing visual data and machine learning covering broader data applications.

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Junior Computer Vision jobs near you
Infographic showing various Junior Computer Vision job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $88,976 per year, or $42.8 per hour.

Junior/Middle Computer Vision Engineer ID72410

Tampa, FL • On-site

AgileEngine, LLC.
Software Development • 201 - 500 employees
Learn more about AgileEngine, LLC.external

Other

Posted 19 days ago

Job description

Full time | AgileEngine | United States

Job Information

City Tampa

State/Province Florida

33602

IT Services

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO
  • Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
  • Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
  • Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
  • Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
  • Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.
MUST HAVES
  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
  • Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
  • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
  • Foundational coding skills in Python;
  • Foundational understanding of machine learning concepts and workflows;
  • Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
  • Basic familiarity with cloud environments and compute resources;
  • A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
  • Excellent attention to detail, specifically regarding data quality and documentation;
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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