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Overnight Computer Vision Intern Jobs (NOW HIRING)

TEKsystems

Computer Operator

Virginia Beach, VA · On-site

$25 - $30/hr

Our client is hiring a Computer Operators Level I to work onsite and overnight. Computer Operators ... vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth ...

Persona AI

Software Engineering Intern

Pensacola, FL · On-site

Work on computer vision, sensor fusion, and environmental understanding capabilities * Manipulation Software : Contribute to robotic arm and hand control systems for grasping and dexterous ...

NEC Labs America

MA - Research Intern 2026

San Jose, CA · On-site

$7K - $9K/mo

Position Requirements Outstanding applicants pursuing a PhD in all areas of computer vision are ... Visual synthesis: neural rendering and video generation Intern projects at NEC Labs result in ...

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

As of Jun 4, 2026, the average hourly pay for overnight computer vision intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 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 are hiring for Overnight Computer Vision Intern jobs? Cities with the most Overnight Computer Vision Intern job openings:
What states have the most Overnight Computer Vision Intern jobs? States with the most job openings for Overnight Computer Vision Intern jobs include:
Overnight Computer Vision Intern jobs near you
Internship - Video Anomaly Detection

Internship - Video Anomaly Detection

Mitsubishi Electric Research Laboratories

Cambridge, MA • On-site

Other

Posted 26 days ago

Job description

MERL is looking for a self-motivated intern to work on the problem of video anomaly detection. The intern will help to develop new ideas for improving the state of the art in detecting anomalous activity in videos. The ideal candidate would be a Ph.D. student with a strong background in machine learning and computer vision and some experience with video anomaly detection in particular. Proficiency in Python programming and Pytorch is necessary. The successful candidate is expected to have published at least one paper in a top-tier computer vision or machine learning venue, such as CVPR, ECCV, ICCV, WACV, ICML, ICLR, NeurIPS or AAAI. The intern will collaborate with MERL researchers to develop and test algorithms and prepare manuscripts for scientific publications. The internship is for 3 months and the start date is flexible.

Required Specific Experience

  • Graduate student in Ph.D. program
  • Experience with PyTorch.
  • Prior publication in computer vision or machine learning conference/journal.

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERLs employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.

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