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Ai Object Detection Jobs (NOW HIRING)

shefsolutionsllc

Data Science And Ai

San Francisco, CA · On-site

$125 - $150/hr

Experience with computer vision or multi-modal tasks like semantic segmentation, object detection ... Understanding of AI/ML concepts, algorithms, and techniques, with hands‑on experience in LLMs (e ...

Tycho.AI

Autonomy Engineer - Perception

Cambridge, MA · On-site

$100 - $125/hr

Strong foundation in both 2D (e.g., object detection, segmentation) and 3D (e.g., multi-view ... AI * Be part of a rapidly scaling startup defining the future of autonomous intelligence.

helsing.ai

$200 - $250/hr

We build Altra, an AI-powered drone software platform, and HX-2, our autonomous drone. We are ... Implementing and improving multi-object tracking pipelines (SORT, DeepSORT, ByteTrack, or similar)

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

Gather AI is pioneering a new era of warehouse intelligence with innovative software that utilizes ... object detection, segmentation, OCR) used across our drone and MHE Vision products • Build out ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data ... Skild AI develops artificial intelligence systems that enable robots to act in physical ...

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Ai Object Detection information

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How much do ai object detection jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai 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 AI object detection?

AI object detection is a computer vision technology that uses artificial intelligence to identify and locate objects within images or videos. It not only classifies objects but also determines their position through bounding boxes or segmentation. This technology is widely used in applications such as autonomous vehicles, surveillance, medical imaging, and retail analytics. AI object detection leverages deep learning models, often based on neural networks, to improve accuracy and speed. As the technology advances, its use cases continue to expand across various industries.

What are the key skills and qualifications needed to thrive as an AI object detection engineer?

To thrive as an AI Object Detection Engineer, you need strong skills in computer vision, deep learning, and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with GPU computing and relevant certifications, is typically required. Analytical thinking, attention to detail, and effective collaboration are important soft skills that help drive innovative solutions. These skills and qualities are crucial for building accurate, efficient detection models and successfully deploying AI solutions in real-world applications.

What are some common challenges faced by AI object detection specialists when deploying models to production environments?

AI Object Detection specialists often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing inference speed for real-time applications, and managing large-scale annotated datasets. Deploying models requires close collaboration with data engineers, software developers, and quality assurance teams to address integration issues and maintain consistent performance. Staying up-to-date with the latest frameworks and hardware acceleration techniques is also crucial for overcoming these challenges and ensuring successful deployments.

What other helpful pages are available for Ai Object Detection?

Other pages related to Ai Object Detection:

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

Computer Vision Engineer (Object Detection & Tracking)

Manhattan, NY • On-site

ZeroMark, Inc.
See more jobs at ZeroMark, Inc.external

$122K - $144K/yr

Full-time

Re-posted 18 days ago

Job description

Job Summary:
ZeroMark is a company that builds AI-driven counter-drone systems designed for combat situations. They are seeking a Principal Computer Vision Engineer to develop and optimize advanced computer vision algorithms for aerial object detection and tracking, collaborating with cross-functional teams to enhance their defense systems.
Responsibilities:
• Contribute to the implementation of computer vision algorithms for aerial object detection and tracking.
• Conduct research and stay up-to-date with the latest advancements in computer vision and deep learning to ensure our solutions remain at the forefront of technology.
• Collaborate with cross-functional teams, including software engineers, hardware engineers, and data scientists, to integrate computer vision solutions into our defense systems.
• Optimize and enhance existing algorithms for improved accuracy, efficiency, and real-time performance.
• Analyze and interpret complex data sets to improve detection and tracking accuracy.
• Help ensure compliance with industry standards and regulatory requirements in all developed solutions.
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision and machine learning.
• Minimum of 2 years of experience in computer vision and object detection.
• Strong programming skills in Python, C++, and familiarity with relevant libraries such as OpenCV, TensorFlow, PyTorch, etc.
• Proven experience in developing and deploying machine learning and deep learning models in real-world applications.
• In-depth knowledge of image processing, feature extraction, object detection, and tracking algorithms.
• Excellent problem-solving skills, with the ability to think critically and innovate.
• Strong communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to work effectively in a team-oriented, collaborative environment.
Preferred:
• Experience with drone technology and UAV systems.
• Knowledge of radar, LIDAR, and other sensing technologies.
• Experience in 3d perception or similar fields.
• Familiarity with cloud computing platforms and edge computing.
Company:
ZeroMark empowers US and allied forces with cutting-edge defense technology, elevating mission success and safeguarding personnel. Founded in 2022, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.

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