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Part Time Computer Vision Engineer Jobs (NOW HIRING)

Visual Sound

Part-Time CAD Operator/ Installer.

Broomall, PA · On-site

$18.75 - $25.75/hr

The in-house design, engineering, sales, purchasing, project management, and installation teams ... Maintain CAD drawings templates * Plotting of completed drawings sets * As-Built documentation

Visual Sound

Part-Time CAD Operator/ Installer.

Broomall, PA · On-site

$18.75 - $25.75/hr

The in-house design, engineering, sales, purchasing, project management, and installation teams ... Maintain CAD drawings templates * Plotting of completed drawings sets * As-Built documentation

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Part Time Computer Vision Engineer information

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$48.5K

$121.5K

$137.5K

How much do part time computer vision engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for part time computer vision engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a part time computer vision engineer?

Part-time computer vision engineers are professionals who specialize in designing and implementing computer vision algorithms and systems, but work fewer hours than a full-time schedule, often on a contract or project basis. Their responsibilities typically include developing models for image and video analysis, object detection, and related tasks using machine learning and deep learning techniques. These engineers often collaborate with teams to integrate vision systems into products, troubleshoot issues, and optimize performance. Working part-time allows flexibility, making this role suitable for students, freelancers, or those seeking work-life balance.

What are the key skills and qualifications needed to thrive as a part time computer vision engineer?

To thrive as a Part Time Computer Vision Engineer, you need a strong background in computer science, mathematics, and experience with image processing and machine learning, often supported by a relevant degree. Familiarity with programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and version control systems is typically required. Strong problem-solving abilities, collaboration, and effective time management are crucial soft skills for balancing part-time responsibilities and project goals. These skills and qualities are important to deliver innovative, high-quality solutions efficiently in a dynamic and technically demanding field.

What are some common challenges faced by part time computer vision engineers, and how can they be addressed?

Part-time computer vision engineers often face challenges such as balancing project deadlines with limited working hours and staying updated with rapidly evolving technologies. Effective communication with full-time team members is essential to ensure alignment on project goals and deliverables. Utilizing collaborative tools, maintaining clear documentation, and attending regular meetings can help bridge gaps in communication and workflow. Additionally, setting realistic timelines and prioritizing tasks can enable part-time engineers to maximize their impact and stay productive within their schedule.

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

AspectPart Time Computer Vision EngineerPart Time Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with OpenCV, deep learning frameworksBachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML frameworks like TensorFlow, PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, startups, research institutions working on predictive models and data analysis
Employer & Industry UsageUsed in industries like automotive, healthcare, security for visual data processingApplied across finance, healthcare, e-commerce for data-driven decision making

While both roles involve machine learning skills, a Part Time Computer Vision Engineer specializes in visual data analysis and image processing, whereas a Part Time Machine Learning Engineer focuses on developing algorithms across various data types. The choice depends on your expertise in visual technologies versus broader machine learning applications.

More about Part Time Computer Vision Engineer jobs

What cities are hiring for Part Time Computer Vision Engineer jobs?

Cities with the most Part Time Computer Vision Engineer job openings:

What are the most commonly searched types of Computer Vision Engineer jobs?

The most popular types of Computer Vision Engineer jobs are:

What states have the most Part Time Computer Vision Engineer jobs?

States with the most job openings for Part Time Computer Vision Engineer jobs include:

What job categories do people searching Part Time Computer Vision Engineer jobs look for?

The top searched job categories for Part Time Computer Vision Engineer jobs are:

Part Time Computer Vision Engineer jobs near you
Infographic showing various Part Time Computer Vision Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Hybrid ML Infrastructure Engineer for Computer Vision & AI (Redwood City)

The Mice Groups, Inc.

Redwood City, CA • On-site

$150K - $180K/yr

Part-time

Re-posted 22 days ago

Job description

Overview

Job Title: Machine Learning Infrastructure Engineer – Computer Vision & AI

Employer: The Mice Groups, Inc.

Location

Redwood City, CA (Hybrid)

Employment type

Contract-to-Hire or Full-Time

Compensation

Base pay range: $150,000.00/yr - $180,000.00/yr

Responsibilities

Note: The original description did not include explicit responsibilities. Please provide a responsibilities section to complete the job posting.

Required Qualifications
  • 6+ years of industry experience (minimum 4 years in the U.S.)
  • BS/MS in Computer Science or related field
  • Strong foundation in machine learning, deep learning, and computer vision
  • Proven experience with scalable ML infrastructure and distributed systems
  • Proficient in Python and software development best practices
  • Experience with LLMs, LVMs, and RAG in production environments
  • Excellent communication and collaboration skills
Nice to Have
  • Experience working in real-time video processing environments
  • Familiarity with cloud-based ML platforms and MLOps tools
Interview Process
  • Initial phone/video screen
  • Onsite interview (includes technical deep dive and team fit)
Additional postings

The original content included multiple postings for similar roles and salary ranges in different locations. Those items have been omitted to focus on the current role.

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