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Overnight Computer Vision Intern Jobs in Silver Spring, MD

Rackner

Computer Science Internship

College Park, MD · On-site

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Medical, Dental and Vision * Life insurance, and short + long term disability * Industry-Leading ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Medical, Dental and Vision * Life insurance, and short + long term disability * Industry-Leading ...

Rackner

Computer Science Internship

College Park, MD

$19 - $25/hr

Computer Science Intern Location: College Park, Maryland (across the street from campus) Who We Are ... Medical, Dental and Vision * Life insurance, and short + long term disability * Industry-Leading ...

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Overnight Computer Vision Intern information

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$25

How much do overnight computer vision intern jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for overnight computer vision intern in Silver Spring, MD is $17.61, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Overnight Computer Vision Intern, and why are they important?

To thrive as an Overnight Computer Vision Intern, you need a solid understanding of computer vision fundamentals, programming skills in languages like Python or C++, and a background in machine learning or image processing, typically supported by coursework or a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and tools for image annotation and model evaluation is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns excel, especially when collaborating remotely or during non-traditional hours. These skills are crucial for delivering reliable research support and innovative solutions on tight deadlines in a fast-evolving technical environment.

What are some common challenges faced by an Overnight Computer Vision Intern, and how can they be addressed?

As an Overnight Computer Vision Intern, you may encounter challenges such as debugging complex algorithms with limited immediate team support due to working outside standard hours. To address this, it's important to document issues thoroughly, maintain clear communication with your daytime team, and utilize collaborative tools like shared code repositories and project management platforms. Establishing a routine for daily handoffs and updates ensures continuity of work and helps you get timely feedback. Additionally, proactively seeking out online resources and forums can be valuable when resolving technical issues independently.

What does an Overnight Computer Vision Intern do?

An Overnight Computer Vision Intern assists with developing and testing computer vision algorithms during overnight shifts, usually to support 24/7 operations or international teams. Responsibilities may include annotating image data, running model experiments, monitoring automated processes, and troubleshooting issues that arise outside regular business hours. This role often provides hands-on experience with machine learning frameworks, image processing tools, and real-world datasets, making it valuable for students or early-career professionals interested in AI and computer vision.

What is the difference between Overnight Computer Vision Intern vs Overnight Data Science Intern?

AspectOvernight Computer Vision InternOvernight Data Science Intern
Required CredentialsEnrolled in Computer Science, Electrical Engineering, or related fields; familiarity with computer vision librariesEnrolled in Data Science, Statistics, or related fields; knowledge of data analysis tools
Work EnvironmentHands-on projects involving image/video processing, model training, and algorithm developmentData analysis, model building, and statistical modeling tasks
Employer & Industry UsageTech companies, AI startups, research labs focusing on visual dataTech firms, finance, healthcare, and research institutions handling large datasets

The Overnight Computer Vision Intern focuses on developing and improving visual data algorithms, often working with images and videos. In contrast, the Overnight Data Science Intern works with broader datasets to extract insights and build predictive models. Both roles require strong programming skills and relevant coursework, but they differ in their specific focus areas within the tech industry.

What cities near Silver Spring, MD are hiring for Overnight Computer Vision Intern jobs? Cities near Silver Spring, MD with the most Overnight Computer Vision Intern job openings:
Overnight Computer Vision Intern jobs near you
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Towson, MD

Other

Posted 12 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

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