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Overnight Computer Vision Intern Jobs (NOW HIRING)

BrightAI Corporation

Computer Vision Engineer

Palo Alto, CA

$131K - $154K/yr

Computer Vision Intern - Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months What You'll Gain * Exposure to the full CV pipeline, from raw data to deployed model * Mentorship ...

BrightAI Corporation

Computer Vision Engineer

Palo Alto, CA · On-site

$131K - $154K/yr

Computer Vision Intern - Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months What You'll Gain * Exposure to the full CV pipeline, from raw data to deployed model * Mentorship ...

Tt

AI & Computer Vision Intern

New York, NY

We have an opportunity for an AI & Computer Vision Intern for our Forensics Practice. Responsibilities: * Support the AI/ML team in labeling and curating datasets for computer vision models ...

PlusAI

Computer Vision Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Experience with 3D Vision * Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH) $19 - $65 an hour Our internship hourly rates are a standard pay determined based ...

PlusAI

Computer Vision Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Experience with 3D Vision * Publication record in relevant venues (CVPR, ICLR, ICCV, ECCV, NeurIPS, AAAI, SIGGRAPH) $19 - $65 an hour Our internship hourly rates are a standard pay determined based ...

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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
Computer Vision Engineer

Computer Vision Engineer

BrightAI Corporation

Palo Alto, CA

$131K - $154K/yr

Other

Posted 14 days ago

Job description

Computer Vision Intern - Data Labeling & Annotation

Type: Temporary

Duration: 6 months - 12 months

What You'll Gain

  • Exposure to the full CV pipeline, from raw data to deployed model
  • Mentorship from CV engineers working on production systems
  • Hands-on experience with YOLO, PyTorch, and modern annotation workflows
  • Concrete portfolio work - datasets, scripts, and model contributions - that translates directly to future ML/CV roles

What You'll Do

  • Annotate images and video for object detection (bounding boxes), segmentation (polygons/masks), and classification
  • Help refine labeling schemas and class taxonomies as edge cases come up
  • Write Python scripts to convert between annotation formats, validate label integrity, and generate dataset statistics
  • QA labels and surface systematic errors or ambiguous cases
  • Run baseline YOLO training experiments to evaluate dataset quality and identify labeling gaps
  • Document conventions and edge-case decisions

Required

  • Pursuing a degree in CS, EE, AI/ML, or related field
  • Working knowledge of Python and common CV libraries (NumPy, OpenCV)
  • Attention to detail and patience for precision work

Nice to Have

  • Hands-on experience with YOLO
  • Familiarity with PyTorch, segmentation masks, or model-assisted labeling workflows
BrightAI logo

About BrightAI

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

San Francisco, CA, US

Year founded

2019

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