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Object Detection Intern Jobs (NOW HIRING)

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 ... Annotate images and video for object detection (bounding boxes), segmentation (polygons/masks), and ...

Fujitsu

Research Intern

Santa Clara, CA · On-site

DataResearch Intern at Fujitsu Research of America Location: Santa Clara, CA The Space Data ... object detection, segmentation, or vision models such as YOLO, DETR, Mask R-CNN, Mask2Former ...

Tt

AI & Computer Vision Intern

New York, NY

We have an opportunity for an AI & Computer Vision Intern for our Forensics Practice ... object detection, instance segmentation, and semantic segmentation. * Work with 2D image datasets ...

Kodiak

Fall 2026 Intern, Perception

Mountain View, CA

$10K/mo

We are looking for a highly skilled Perception Intern to join us and solve real-world robotics ... Solve real-world perception challenges such as object detection and classification, multi-object ...

Kodiak

Fall 2026 Intern, Perception

Mountain View, CA · On-site

$10K/mo

We are looking for a highly skilled Perception Intern to join us and solve real-world robotics ... Solve real-world perception challenges such as object detection and classification, multi-object ...

Trunk Tools

MBA/BS Intern - Vision AI

Redmond, WA

$45/hr

About Job MBA/BS Intern - Vision AI Role Overview We are seeking a highly motivated MBA/BS Intern ... object detection, segmentation, and scene understanding; comprehend platform capabilities and ...

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Object Detection Intern information

What does an Object Detection Intern do?

An Object Detection Intern typically assists in developing and testing machine learning models that identify and locate objects within images or videos. They work with datasets, annotate images, train neural networks, and evaluate model performance using metrics like precision and recall. Interns often collaborate with data scientists and engineers to improve algorithms and deploy real-time object detection systems. This role helps interns gain hands-on experience with computer vision tools and deep learning frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as an Object Detection Intern, and why are they important?

To thrive as an Object Detection Intern, you need a solid background in computer vision, machine learning, and programming languages like Python, often supported by coursework or a related degree. Familiarity with frameworks such as TensorFlow, PyTorch, and OpenCV, as well as experience with object detection models like YOLO or Faster R-CNN, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you stand out in collaborative research and development environments. These competencies are crucial for building accurate models, efficiently solving technical challenges, and contributing meaningfully to the team's projects.

What are the typical projects and tasks an Object Detection Intern might work on during their internship?

As an Object Detection Intern, you will typically work on tasks such as annotating and preprocessing datasets, training and evaluating deep learning models (like YOLO or Faster R-CNN), and experimenting with different architectures to improve detection accuracy. You'll often collaborate closely with data scientists, machine learning engineers, and software developers to integrate your models into larger systems. Interns may also be involved in error analysis and iterative model improvement, providing hands-on experience with the full machine learning workflow in a collaborative, fast-paced environment.
Infographic showing various Object Detection Intern job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 58% Full Time, 35% Part Time, 3% Temporary, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.
Computer Vision Engineer

Computer Vision Engineer

BrightAI Corporation

Palo Alto, CA • On-site

$131K - $154K/yr

Full-time

Posted 17 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
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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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