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Part Time Computer Vision Jobs in Miami, FL (NOW HIRING)

Part-Time Merchandiser

Miami, FL · On-site

$16.25 - $19.25/hr

Total Wellness Programs including health, dental and vision plans * 401K program with healthy ... Proficient in computer application skills. * 1+ year working under minimal or no supervision ...

Part Time Framer

Aventura, FL · On-site

$18.50 - $25/hr

... computer skills and basic measuring skills * ability to operate the framing equipment and glass ... Our benefits include health insurance (medical, dental, and vision), paid time off, tuition ...

Part Time Framer

Miami, FL · On-site

$18.25 - $24.75/hr

... computer skills and basic measuring skills * ability to operate the framing equipment and glass ... Our benefits include health insurance (medical, dental, and vision), paid time off, tuition ...

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Part Time Computer Vision information

See Miami, FL salary details

$32K

$46.2K

$60.7K

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

As of Jun 16, 2026, the average yearly pay for part time computer vision in Miami, FL is $46,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,300.00 and $53,100.00 per year, depending on experience, location, and employer.

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

AspectPart Time Computer VisionPart Time Machine Learning Engineer
Required CredentialsBachelor's in CS, CV certifications, relevant experienceBachelor's in CS, ML certifications, relevant experience
Work EnvironmentTech companies, research labs, startupsTech firms, research institutions, startups
Industry UsageImage/video analysis, autonomous vehicles, roboticsData modeling, predictive analytics, AI applications
Search & Comparison IntentUnderstanding role scope, skills, and job dutiesSimilar roles, skills overlap, career paths

Part Time Computer Vision focuses on analyzing visual data, while Part Time Machine Learning Engineer works on developing algorithms across various data types. Both roles require similar educational backgrounds and work environments but differ in their specific focus areas within AI and data analysis.

What types of projects and collaboration can I expect in a part-time computer vision role?

In a part-time computer vision position, you’ll often work on focused projects such as image classification, object detection, or facial recognition, typically within a small team or as an individual contributor. You’ll likely collaborate with data scientists, software engineers, or product managers, sharing updates during virtual meetings and using collaborative tools like GitHub for code review and integration. While the part-time nature provides flexibility, clear communication and self-management are important as you may need to synchronize your progress with the broader team. This role is a great way to gain hands-on experience with cutting-edge technologies and build a portfolio for future full-time opportunities.

What are part-time computer vision jobs?

Part-time computer vision jobs involve working fewer hours than a full-time position, typically in roles that focus on developing, testing, or implementing computer vision algorithms and systems. These jobs may include tasks such as image and video analysis, machine learning, data annotation, or AI model development, often in industries like healthcare, automotive, retail, or security. Part-time positions can be ideal for students, freelancers, or professionals seeking flexible work arrangements while contributing to innovative technology projects.

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

To thrive as a Part Time Computer Vision Specialist, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or coursework. Experience with programming languages like Python, frameworks such as OpenCV or TensorFlow, and familiarity with image processing tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills help in problem-solving and collaborating with team members. These skills and qualities are essential for successfully developing and implementing computer vision solutions that meet project goals and deadlines.
What are the most commonly searched types of Computer Vision jobs in Miami, FL? The most popular types of Computer Vision jobs in Miami, FL are:
What are popular job titles related to Part Time Computer Vision jobs in Miami, FL? For Part Time Computer Vision jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Part Time Computer Vision jobs? Cities near Miami, FL with the most Part Time Computer Vision job openings:

Part-Time Lecturer - Applied Machine Intelligence (Miami)

Northeastern University

Miami, FL • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

About the Opportunity
The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Miami campus.
The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.
Responsibilities
Qualified candidates must be prepared to work with global student populations.
The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.
Instructional areas include, but are not limited to:
  • Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
  • Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
  • Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
  • Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.
Qualifications
Minimum qualifications:
  • Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
  • Demonstrated professional experience implementing AI/ML solutions in industry settings
  • Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)

Strongly preferred:
  • 5+ years of professional experience in AI/ML development, implementation, or strategy roles
  • Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
  • Experience teaching adult learners or working professionals
  • Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
  • Understanding of AI ethics, governance, and responsible AI practices
  • Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials
Applicants should submit materials including a cover letter and vitae.
Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.
Please direct questions to John Wilder at j.wilder@northeastern.edu.
Application will be reviewed until the position is filled.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate for this position is $1,569.00.