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Part Time Computer Vision Engineer Jobs (NOW HIRING)

City of New York

P/T Computer Aide

Manhattan, NY · On-site

$30/hr

FOR PART TIME APPOINTMENTS ELIGIBLE CANDIDATES MUST HAVE PASSED AND BE REACHABLE ON THE 'COMPUTER ... and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional ...

City of New York

P/T Computer Aide

Manhattan, NY · On-site

**FOR PART TIME APPOINTMENTS ELIGIBLE CANDIDATES MUST HAVE PASSED AND BE REACHABLE ON THE 'COMPUTER ... and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional ...

City of New York

P/T Computer Aide

Manhattan, NY · On-site

**FOR PART TIME APPOINTMENTS ELIGIBLE CANDIDATES MUST HAVE PASSED AND BE REACHABLE ON THE 'COMPUTER ... and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional ...

City of New York

P/T Computer Aide

Manhattan, NY · On-site

The selected candidate will perform the duties of a P/T Computer Aide, which include, but are not ... and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional ...

AST SpaceMobile

AI Lab Manager

Midland, TX · On-site

Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by ... Hire, onboard, schedule, and supervise a part-time computer-vision image-labeling workforce ...

City of New York

P/T Computer Service Technician

Manhattan, NY · On-site

$18.75 - $25/hr

**FOR PART TIME APPOINTMENTS ELIGIBLE CANDIDATES MUST HAVE PASSED AND BE REACHABLE ON THE 'COMPUTER ... and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional ...

City of New York

P/T Computer Service Technician

Manhattan, NY · On-site

$18.75 - $25/hr

**FOR PART TIME APPOINTMENTS ELIGIBLE CANDIDATES MUST HAVE PASSED AND BE REACHABLE ON THE 'COMPUTER ... and vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional ...

City of New York

P/T Computer Service Technician

Manhattan, NY · On-site

$18.75 - $25/hr

... vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account. COMPUTER ...

City of New York

P/T Computer Service Technician

Manhattan, NY · On-site

$18.75 - $25/hr

... vision coverage, paid annual leave and sick leave, paid holidays, a pension, and optional savings and pre-tax programs such as Deferred Compensation, IRA, and a flexible spending account. COMPUTER ...

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Showing results 1-20

All JobsComputer Vision Engineer JobsPart Time Computer Vision Engineer Jobs

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 Jul 10, 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 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.
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 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 July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Computer Vision Software Engineer, Senior

Computer Vision Software Engineer, Senior

Booz Allen Hamilton, Inc.

Dayton, OH • On-site

$119K - $157K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 18 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants

Job description


Remote Work:
No
Job Number:
R0242681
Location:
Dayton,OH,US
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Computer Vision Software Engineer, Senior
The Opportunity:
As a Senior Computer Vision Engineer, you will design, develop, and optimize advanced computer vision and multi-sensor fusion algorithms supporting GEOINT-mission workflows. You will lead the development of deep learning models, real-time tracking systems, and GPU-accelerated pipelines deployed in operational environments. You will shape next-generation tools that integrate imaging physics, ML-based behavior inference, and multi-sensor fusion.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes.
What You'll Work On:
  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python or C++.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
  • Contribute to the architecture and implementation of novel single and multi-sensor detection and tracking and fusion of targets.

Join us. The world can't wait.
You Have:
  • 6+ years of experience developing computer vision algorithms for detection, tracking, or multi-sensor fusion in remote sensing or GEOINT environments
  • 2+ years of experience applying deep learning to computer vision problems using transformer-based or self-supervised architectures
  • Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows
  • Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with Agile methodology, extreme programming, software engineering, product management, and software products, and acquiring client requirements and resolving workflow problems through automation optimization
  • Knowledge of GPU-accelerated development using CUDA, RAPIDS, or GPU programming frameworks
  • Knowledge of classical tracking or estimation methods such as Kalman or extended filters, to support real-time algorithm development
  • Ability to design, test, and optimize algorithms for operational performance in constrained computing environments such as multi-GPU servers or cloud
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with GPU-accelerated deep learning, including CUDA kernel development, TensorRT optimization, RAPIDS, or distributed multi-GPU training
  • Experience developing synthetic data, kinematic target models, or scenario simulation tools to support algorithm training or evaluation
  • Experience with advanced estimation, tracking, and fusion techniques such as joint multi-sensor registration, Bayesian fusion, particle filters, or deep multi-object tracking pipelines
  • Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime, Triton Inference Server, or similar
  • Experience building or optimizing microservice architectures or distributed systems for real-time data processing
  • Experience integrating CV models into edge, embedded, or latency-constrained operational environments
  • Experience with transformer-based vision architectures beyond DINO, CLIP, or SAM such as ViT variants or self-supervised multi-modal encoders
  • Experience with cloud ML platforms such as AWS GovCloud, Azure ML, or on-premises GPU clusters
  • Knowledge of geospatial data formats, sensor phenomenology, or remote-sensing exploitation workflows
  • Master's degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics, or a related field preferred; Doctorate degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, Mathematics, or a related field a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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