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Part Time Computer Vision Engineer Jobs in Boston, MA

FocusKPI Inc.

Data Scientist (MMM)

Boston, MA · On-site

$90K/yr

Ph.D. degree in statistics/mathematics, engineering, computer science, economics, or a related ... vision , and generative AI . * Skilled in conceptualizing complex business problems and designing ...

Tufts University

Part Time Lecturer

Medford, MA · On-site

Description The Department of Electrical and Computer Engineering at Tufts University is conducting an ongoing search for highly-qualified, enthusiastic part-time lecturers. We invite applications ...

Coast and Harbor Associates

M/E/P Engineer

Boston, MA · On-site

Services will be provided on an as-needed, part-time basis. Responsibilities Include: * Thorough ... Proficiency in Autodesk Software (Revit, CAD) * Understanding and knowledge of building codes ...

Coast and Harbor Associates

Civil Engineer

Boston, MA · On-site

Services will be provided on an as-needed, part-time basis. Responsibilities Include: * Thorough ... Experience with Autodesk Software (Revit, CAD) * Understanding and knowledge of building codes ...

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All JobsComputer Vision Engineer JobsPart Time Computer Vision Engineer JobsPart Time Computer Vision Engineer Jobs in Boston, MA

Part Time Computer Vision Engineer information

See Boston, MA salary details

$52.7K

$132K

$149.4K

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

As of Jul 16, 2026, the average yearly pay for part time computer vision engineer in Boston, MA is $132,014.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $142,900.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a Part Time Computer Vision Engineer, and why are they important?

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 part-time computer vision engineers?

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 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 are popular job titles related to Part Time Computer Vision Engineer jobs in Boston, MA? For Part Time Computer Vision Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Part Time Computer Vision Engineer jobs in Boston, MA look for? The top searched job categories for Part Time Computer Vision Engineer jobs in Boston, MA are:
Part Time Computer Vision Engineer jobs near you
Infographic showing various Part Time Computer Vision Engineer job openings in Boston, MA as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $132,014 per year, or $63.5 per hour.

Research Assistant I, per diem, Nezami Lab

Massgeneralbrigham

Boston, MA • On-site

$21 - $29.01/hr

Part-time

Posted 7 days ago

Job description

Site: The Brigham and Women's Hospital, Inc.


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


Job Summary

The Nezami Lab at Brigham and Women's Hospital (a Harvard Medical School affiliate) is dedicated to advancing surgical innovation and precision medicine through a multidisciplinary approach that combines robotics, control systems, computer vision, and biomedical engineering. Our team integrates cutting-edge research in AI, system modeling, and device design to develop intelligent solutions for complex surgical and clinical applications.


Qualifications

We are seeking a talented and motivated Research Assistant with expertise in Computer Vision and control systems design to support the development and evaluation of an innovative medical technology platform. The ideal candidate will play a key role in conducting technical and financial feasibility studies, optimizing system architecture, and contributing to the creation of a preliminary functional prototype.

Key Responsibilities

  • Conduct technical feasibility studies and contribute to the system design of robotic and computer vision-based applications
  • Implement and test control algorithms for mechanical systems, including feedback and real-time control strategies
  • Apply computer vision techniques for image-guided navigation, object detection, and real-time visual tracking
  • Evaluate system components from a cost-efficiency perspective and assist in early-stage prototyping
  • Collaborate with engineers, clinicians, and researchers to refine system design and translate findings into functional outcomes
  • Support documentation and reporting for internal use, grant submissions, and publications

Education
Bachelor's degree required.

Experience
Experience: 0-1 years required

Preferred Qualifications

  • Proficiency in control systems design, kinematics, dynamics, and robotic system integration
  • Strong experience in computer vision (e.g., OpenCV, ROS, 3D reconstruction, object tracking)
  • Hands-on experience with prototyping tools and platforms (e.g., Arduino, Raspberry Pi, MATLAB/Simulink, SolidWorks)
  • Familiarity with technical and cost feasibility analysis, project planning, and iterative design
  • Self-motivated, detail-oriented, and capable of working both independently and collaboratively

Knowledge, Skills and Abilities
- Must be a problem solver willing to take the initiative and prioritize tasks, thereby ensuring the smooth and efficient conduct of several projects simultaneously.
- Ability to perform a variety of highly specialized cell culture and molecular biology procedures.
- A high degree of computer literacy in order to use various spreadsheet, database, accounting and word processing programs to assist in administrative, grant proposal preparation, and research reporting activities.
- Excellent organizational skills in order to formulate, implement, and monitor a number of interrelated tasks.
- Ability to exercise discretion and good judgment in handling of sensitive and confidential information.
- Ability to work under deadline pressure and prioritize work from several sources.
- Excellent interpersonal skills for internal and external communications.

Additional Job Details (if applicable)


Remote Type

Hybrid


Work Location

20 Shattuck Street


Scheduled Weekly Hours

0


Employee Type

Per Diem


Work Shift

Day (United States of America)


Pay Range

$21.00 - $29.01/Hourly

Grade

5


At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.


EEO Statement:

2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

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