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Computer Vision Object Detection Jobs (NOW HIRING)

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

Required : • 10+ years building and scaling production ML or computer vision systems • 5+ years managing and growing ML engineering teams • Deep expertise in computer vision: object detection ...

Berkshire Grey

Spring 2027 Software Co-op

Bedford, MA · On-site

$28 - $45/hr

Develop and test computer vision and machine learning models (e.g., depth completion, stereo vision, object detection). * Explore and implement model-based approaches to improve perception pipeline ...

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Computer Vision Object Detection information

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How much do computer vision object detection jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for computer vision object detection in the United States is $53.11, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $68.51 per hour, depending on experience, location, and employer.

What is computer vision object detection?

Computer Vision Object Detection is a field within artificial intelligence and computer science that focuses on enabling computers to identify and locate objects within digital images or videos. Using advanced algorithms and deep learning models, object detection systems can recognize multiple objects, determine their positions, and classify them into predefined categories. Applications of object detection include autonomous vehicles, surveillance systems, medical imaging, and retail analytics. Its effectiveness depends on the quality and diversity of the training data, as well as the complexity of the algorithms used.

How does a computer vision object detection specialist typically collaborate with software engineers and data scientists on projects?

In most organizations, Computer Vision Object Detection specialists work closely with software engineers and data scientists to integrate detection models into larger applications. They often collaborate on data collection and annotation, model training and tuning, and deploying solutions at scale. Regular cross-functional meetings and code reviews are common, ensuring that models meet performance requirements and align with broader product goals. Effective communication and teamwork are essential, as the role often involves translating technical model outputs into actionable insights for various stakeholders.

What are the key skills and qualifications needed to thrive as a computer vision object detection specialist, and why are they important?

To thrive in Computer Vision Object Detection, you need strong programming skills (especially in Python), a solid background in machine learning and deep learning, and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience using annotation tools and cloud platforms, is crucial. Strong problem-solving ability, attention to detail, and effective communication skills help you design robust models and collaborate with multidisciplinary teams. These skills are essential for developing accurate and efficient object detection systems that address real-world challenges in industries like automotive, healthcare, and security.

What other helpful pages are available for Computer Vision Object Detection?

Other pages related to Computer Vision Object Detection:

Infographic showing various Computer Vision Object Detection job openings in the United States as of September 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,464 per year, or $53.1 per hour.

Computer Vision Annotation Expert

Manhattan, NY • On-site

BAM Ventures
Investment Clubs and Venture Capital Companies • 1 - 10 employees
Learn more about BAM Venturesexternal

Other

Posted 8 days ago

Job description

We are looking for computer vision experts to help annotate images and videos for training advanced AI models. This role involves working with diverse visual content to create high-quality training datasets.

Responsibilities
  • Annotate images and videos with bounding boxes, segmentation masks
  • Quality control for annotation accuracy
  • Develop annotation guidelines and standards
  • Train junior annotators
  • Collaborate with ML engineers on data requirements
Qualifications
  • MS/PhD in Computer Vision or related field
  • Experience with annotation tools (CVAT, Labelbox, etc.)
  • Strong understanding of object detection and segmentation
  • Python programming skills
  • Attention to detail and quality
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About BAM Ventures

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2014

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