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Computer Vision Remote Jobs in Washington (NOW HIRING)

Senior Generative AI Engineer

Potomac, MD · Remote

$56.50 - $73/hr

... computer vision, and related AI / ML domains. The ideal candidate is energized and motivated with ... Remote location but greater Washington, DC area preferred for hybrid engagement * Sponsored AWS ...

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

... computer vision, and related AI / ML domains. The ideal candidate is energized and motivated with ... Remote location but greater Washington, DC area preferred for hybrid engagement * Sponsored AWS ...

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

... computer vision, and related AI / ML domains. The ideal candidate is energized and motivated with ... Remote location but greater Washington, DC area preferred for hybrid engagement * Sponsored AWS ...

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

Experience developing computer vision and multimodal analytics pipelines, including imagery ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Experience developing computer vision and multimodal analytics pipelines, including imagery ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Experience developing computer vision and multimodal analytics pipelines, including imagery ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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Computer Vision Remote information

See Washington salary details

$14

$23

$35

How much do computer vision remote jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for computer vision remote in Washington is $23.62, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $26.39 per hour, depending on experience, location, and employer.

What is a Computer Vision Remote job?

A Computer Vision Remote job involves developing and implementing computer vision algorithms and models while working from a remote location. Professionals in this role work on tasks like image recognition, object detection, and video analysis using AI and machine learning. They collaborate with teams via online communication tools and use cloud platforms or local computing resources for model training. These jobs are common in industries like healthcare, robotics, and autonomous systems.

What are the key skills and qualifications needed to thrive in the Computer Vision Remote position, and why are they important?

Success as a Computer Vision Remote professional requires expertise in computer vision algorithms, image processing, programming (Python/C++), and a degree in computer science or a related field. Familiarity with popular frameworks such as OpenCV, TensorFlow, or PyTorch, and sometimes certifications in AI or data science, are typically advantageous. Strong communication, self-motivation, and problem-solving skills help remote workers collaborate effectively across distributed teams. These competencies are crucial for delivering high-quality solutions, meeting project deadlines, and excelling in a remote-first work environment.

What are some common challenges faced by remote computer vision professionals, and how are they addressed?

Remote computer vision professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and maintaining consistent communication with onsite teams. These challenges are typically overcome by using version control systems like Git, cloud storage solutions, and regular video meetings to stay connected and ensure alignment. Teams also rely on detailed documentation and code reviews to maintain project quality and foster knowledge sharing. By adopting these best practices, remote professionals can contribute effectively and remain engaged with their team and projects.

What are the most commonly searched types of Computer Vision jobs in Washington? The most popular types of Computer Vision jobs in Washington are:
AI/ML Research and Development Intern

AI/ML Research and Development Intern

The Pennsylvania State University

Reston, VA • On-site, Remote

$15.50 - $20.75/hr

Part-time

Posted 17 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

We are seeking graduate students with artificial intelligence/ machine learning (AI/ML) experience to join Visualization and Decision Support Division of the Applied Research Laboratory (ARL) at Penn State. looking to support our mission to discover, demonstrate, transition, and educate.Interns will have the opportunity to work on cutting-edge AI technologies, participate in a Kaggle-style competition, and develop solutions to problems in computer vision and geospatial understanding.

Students selected will serve as active, hands-on, contributing members of the research staff at ARL. As part of this position, the candidate may:

  • Work within an agile development environment with other developers, scrum master, and product owners to scope, develop, and deliver quality software solutions.
  • Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and artificial intelligence.
  • Contribute to the development, testing, and transition of front and back-end software applications to various IT environments.
  • Support machine learning model development using tools and technologies such as: PyTorch, Pandas, PostgreSQL, AWS, Docker and similar technologies.
  • Collaborate with cross-functional teams to integrate machine learning models into existing systems and develop new ones to meet specific project needs.

Students studying Computer Science, Electrical Engineering or Mathematics are encouraged to apply. Must have a bachelors degree and be enrolled in a masters or higher level degree program

Experience in machine learning is preferred.

Successful candidates will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer. This is a paid internship located at either State College, PA or Reston, VA. Relocation and housing are not provided.

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).

FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.All positions at ARL require candidates topossess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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